1
|
De Simone MS, Lombardi MG, De Tollis M, Perri R, Fadda L, Caltagirone C, Carlesimo GA. Forgetting rate for the familiarity and recollection components of recognition in amnestic mild cognitive impairment: A longitudinal study. APPLIED NEUROPSYCHOLOGY. ADULT 2024; 31:1411-1423. [PMID: 36264763 DOI: 10.1080/23279095.2022.2135441] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Here we aimed to investigate the rate of forgetting of the familiarity and recollection components of recognition in patients at the onset of medial temporal lobe (MTL) pathology and destined to convert to Alzheimer's disease (AD). For this purpose, we conducted a longitudinal study of 13 patients who were diagnosed with amnestic mild cognitive impairment (a-MCI) at the first assessment and followed-up for 3 years. During this time, five patients converted to AD and eight remained in a stable condition of cognitive impairment. A group of 15 healthy subjects were enrolled as the control group (HC). In order to separately quantify the contribution of recollection and familiarity to recognition memory performance, the experimental sample was submitted to a modified version of Huppert and Piercy's procedure that included a Remember/Know paradigm. Data demonstrated that both stable and converter a-MCI patients forgot memory traces relative to the familiarity components of recognition at the same rate as HC. Conversely, converter a-MCI patients showed accelerated long-term forgetting specifically for the recollection component of recognition compared to stable a-MCI and HC. This is the first empirical demonstration that familiarity and recollection components of declarative memory are subject to different rates of forgetting in a-MCI patients as a function of their longitudinal clinical outcome. Our finding of accelerated long-term forgetting of the recollection component of recognition disclosed by converter a-MCI patients suggests that atrophy in the MTL not only interferes with the storage aspects but also disrupts the consolidation of memory traces.
Collapse
Affiliation(s)
- Maria Stefania De Simone
- Laboratory of Neuropsychology of Memory, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Maria Giovanna Lombardi
- Laboratory of Neuropsychology of Memory, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Massimo De Tollis
- Technology and Training Methods for Disability Care Laboratory, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Roberta Perri
- Laboratory of Neuropsychology of Memory, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Lucia Fadda
- Laboratory of Neuropsychology of Memory, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
- Department of Systems Medicine, Tor Vergata University, Rome, Italy
| | - Carlo Caltagirone
- Laboratory of Neuropsychology of Memory, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
- Technology and Training Methods for Disability Care Laboratory, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Giovanni Augusto Carlesimo
- Laboratory of Neuropsychology of Memory, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
- Department of Systems Medicine, Tor Vergata University, Rome, Italy
| |
Collapse
|
2
|
Valles-Salgado M, Matias-Guiu JA, Delgado-Álvarez A, Delgado-Alonso C, Gil-Moreno MJ, Valiente-Gordillo E, López-Carbonero JI, Fernández-Romero L, Peña-DeDiego L, Oliver-Mas S, Matías-Guiu J, Diez-Cirarda M. Comparison of the Diagnostic Accuracy of Five Cognitive Screening Tests for Diagnosing Mild Cognitive Impairment in Patients Consulting for Memory Loss. J Clin Med 2024; 13:4695. [PMID: 39200837 PMCID: PMC11354893 DOI: 10.3390/jcm13164695] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2024] [Revised: 07/31/2024] [Accepted: 08/06/2024] [Indexed: 09/02/2024] Open
Abstract
Objectives: We aimed to evaluate and compare the diagnostic capacity of five cognitive screening tests for the diagnosis of mild cognitive impairment (MCI) in patients consulting by memory loss. Methods: A cross-sectional study involving 140 participants with a mean age of 74.42 ± 7.60 years, 87 (62.14%) women. Patients were classified as MCI or cognitively unimpaired according to a comprehensive neuropsychological battery. The diagnostic properties of the following screening tests were compared: Mini-Mental State Examination (MMSE), Addenbrooke's Cognitive Examination III (ACE-III) and Mini-Addenbrooke (M-ACE), Memory Impairment Screen (MIS), Montreal Cognitive Assessment (MoCA), and Rowland Universal Dementia Assessment Scale (RUDAS). Results: The area under the curve (AUC) was 0.861 for the ACE-III, 0.867 for M-ACE, 0.791 for MoCA, 0.795 for MMSE, 0.731 for RUDAS, and 0.672 for MIS. For the memory components, the AUC was 0.869 for ACE-III, 0.717 for MMSE, 0.755 for MoCA, and 0.720 for RUDAS. Cronbach's alpha was 0.827 for ACE-III, 0.505 for MMSE, 0.896 for MoCA, and 0.721 for RUDAS. Correlations with Free and Cued Selective Reminding Test were moderate with M-ACE, ACE-III, and MoCA, and moderate for the other tests. The M-ACE showed the best balance between diagnostic capacity and time of administration. Conclusions: ACE-III and its brief version M-ACE showed better diagnostic properties for the diagnosis of MCI than the other screening tests. MoCA and MMSE showed adequate properties, while the diagnostic capacity of MIS and RUDAS was limited.
Collapse
Affiliation(s)
- María Valles-Salgado
- Department of Neurology, San Carlos Institute for Health Research (IdISSC), Universidad Complutense de Madrid, 28040 Madrid, Spain; (M.V.-S.); (J.A.M.-G.); (J.M.-G.)
| | - Jordi A. Matias-Guiu
- Department of Neurology, San Carlos Institute for Health Research (IdISSC), Universidad Complutense de Madrid, 28040 Madrid, Spain; (M.V.-S.); (J.A.M.-G.); (J.M.-G.)
| | - Alfonso Delgado-Álvarez
- Department of Neurology, San Carlos Institute for Health Research (IdISSC), Universidad Complutense de Madrid, 28040 Madrid, Spain; (M.V.-S.); (J.A.M.-G.); (J.M.-G.)
- Department of Psychobiology & Behavioral Sciences Methods, Universidad Complutense de Madrid, 28040 Madrid, Spain
| | - Cristina Delgado-Alonso
- Department of Neurology, San Carlos Institute for Health Research (IdISSC), Universidad Complutense de Madrid, 28040 Madrid, Spain; (M.V.-S.); (J.A.M.-G.); (J.M.-G.)
| | - María José Gil-Moreno
- Department of Neurology, San Carlos Institute for Health Research (IdISSC), Universidad Complutense de Madrid, 28040 Madrid, Spain; (M.V.-S.); (J.A.M.-G.); (J.M.-G.)
| | - Esther Valiente-Gordillo
- Department of Neurology, San Carlos Institute for Health Research (IdISSC), Universidad Complutense de Madrid, 28040 Madrid, Spain; (M.V.-S.); (J.A.M.-G.); (J.M.-G.)
| | - Juan Ignacio López-Carbonero
- Department of Neurology, San Carlos Institute for Health Research (IdISSC), Universidad Complutense de Madrid, 28040 Madrid, Spain; (M.V.-S.); (J.A.M.-G.); (J.M.-G.)
| | - Lucía Fernández-Romero
- Department of Neurology, San Carlos Institute for Health Research (IdISSC), Universidad Complutense de Madrid, 28040 Madrid, Spain; (M.V.-S.); (J.A.M.-G.); (J.M.-G.)
| | - Lidia Peña-DeDiego
- Department of Neurology, San Carlos Institute for Health Research (IdISSC), Universidad Complutense de Madrid, 28040 Madrid, Spain; (M.V.-S.); (J.A.M.-G.); (J.M.-G.)
| | - Silvia Oliver-Mas
- Department of Neurology, San Carlos Institute for Health Research (IdISSC), Universidad Complutense de Madrid, 28040 Madrid, Spain; (M.V.-S.); (J.A.M.-G.); (J.M.-G.)
| | - Jorge Matías-Guiu
- Department of Neurology, San Carlos Institute for Health Research (IdISSC), Universidad Complutense de Madrid, 28040 Madrid, Spain; (M.V.-S.); (J.A.M.-G.); (J.M.-G.)
| | - Maria Diez-Cirarda
- Department of Neurology, San Carlos Institute for Health Research (IdISSC), Universidad Complutense de Madrid, 28040 Madrid, Spain; (M.V.-S.); (J.A.M.-G.); (J.M.-G.)
| |
Collapse
|
3
|
Giuffrè GM, Quaranta D, Citro S, Morganti TG, Martellacci N, Vita MG, Rossini PM, Calabresi P, Marra C. Associations Between Free and Cued Selective Reminding Test and Cerebrospinal Fluid Biomarkers in Amnestic Mild Cognitive Impairment. J Alzheimers Dis 2024; 100:713-723. [PMID: 38905044 DOI: 10.3233/jad-240150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/23/2024]
Abstract
Background The Free and Cued Selective Reminding Test (FCSRT), assessing verbal episodic memory with controlled learning and semantic cueing, has been recommended for detecting the genuine encoding and storage deficits characterizing AD-related memory disorders. Objective The present study aims at investigating the ability of FCSRT in predicting cerebrospinal fluid (CSF) evidence of amyloid-β positivity in subjects with amnestic mild cognitive impairment (aMCI) and exploring its associations with amyloidopathy, tauopathy and neurodegeneration biomarkers. Methods 120 aMCI subjects underwent comprehensive neurological and neuropsychological examinations, including the FCSRT assessment, and CSF collection; CSF Aβ42/40 ratio, p-tau181, and total-tau quantification were conducted by an automated CLEIA method on Lumipulse G1200. Based on the Aβ42/40 ratio value, subjects were classified as either A+ or A-. Results All FCSRT subitem scores were significantly lower in A+ group and significantly predicted the amyloid-β status, with Immediate Total Recall (ITR) being the best predictor. No significant correlations were found between FCSRT and CSF biomarkers in the A- aMCI group, while in the A+ aMCI group, all FCSRT subitem scores were negatively correlated with CSF p-tau181 and total-tau, but not with the Aβ42/40 ratio. Conclusions FCSRT confirms its validity as a tool for the diagnosis of AD, being able to predict the presence of amyloid-β deposition with high specificity. The associations between FCSRT subitem scores and CSF p-tau-181 and total-tau levels in aMCI due to AD could further encourage the clinical use of this simple and cost-effective test in the evaluation of individuals with aMCI.
Collapse
Affiliation(s)
- Guido Maria Giuffrè
- Neurology Unit Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
- Memory Clinic Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
- Department of Neuroscience, Catholic University of the Sacred Heart, Rome, Italy
| | - Davide Quaranta
- Neurology Unit Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
- Memory Clinic Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
- Department of Neuroscience, Catholic University of the Sacred Heart, Rome, Italy
| | - Salvatore Citro
- Neurology Unit Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
- Department of Neuroscience, Catholic University of the Sacred Heart, Rome, Italy
| | - Tommaso Giuseppe Morganti
- Neurology Unit Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
- Department of Neuroscience, Catholic University of the Sacred Heart, Rome, Italy
| | - Noemi Martellacci
- Memory Clinic Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Maria Gabriella Vita
- Neurology Unit Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Paolo Maria Rossini
- Department of Neuroscience and Neurorehabilitation, Brain Connectivity Laboratory, IRCCS San Raffaele Roma, Rome, Italy
| | - Paolo Calabresi
- Neurology Unit Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
- Department of Neuroscience, Catholic University of the Sacred Heart, Rome, Italy
| | - Camillo Marra
- Memory Clinic Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
- Department of Neuroscience, Catholic University of the Sacred Heart, Rome, Italy
| |
Collapse
|
4
|
Méndez-Barrio C, Medina-Rodríguez M, Mendoza-Vázquez G, García-Roldán E, Rodrigo-Herrero S, Luque-Tirado A, Almodóvar-Sierra Á, Franco-Macías E. Prodromal Alzheimer's Disease: Global Cognition, Cue Efficiency, and Cerebrospinal Fluid Neurofilament Light Values Predict Short-Term Conversion to Dementia. J Alzheimers Dis 2024; 101:877-887. [PMID: 39302377 DOI: 10.3233/jad-240689] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/22/2024]
Abstract
Background Predicting which patients with prodromal AD (pAD) will imminently convert to dementia may be paramount in a memory clinical setting, especially with potential disease-modifying therapies on the horizon. Objective To explore a practical tool for this prediction, combining cognitive tests and cerebrospinal fluid (CSF) biomarkers. Methods We designed a longitudinal prospective, observational, and multicenter study, enrolling patients with pAD. Inclusion criteria comprised memory complaints, Mini-Mental State Examination (MMSE) score of≥22, memory impairment as indicated by the Free and Cued Selective Reminding Test with Immediate Recall (FCSRT + IR) and/or TMA-93, Clinical Dementia Rating-Global Score (CDR-GS) of 0.5, and positive CSF Aβ42/Aβ40 ratio (<0.095, Euroimmun). The primary outcome was the conversion to dementia (CDR-GS≥1) within the first year of follow-up, referred to as "short-term conversion". A multiple regression logistic model was adopted to design the "Predict Short-Term Conversion" (PSTC) score. Results Between 2020 and 2022, 83 patients were recruited. The median age was 74, with 49.4% being women. Twenty-five (30.1%) patients were classified as short-term converters. The PSTC score incorporated baseline scores on MMSE ( ≤24 = 3, >24 = 0) and FCSRT + IR Total Recall ( ≤14 = 4, >14 = 0), and CSF neurofilament light chains (NfLs) concentrations (β=0.001299). The PSTC score demonstrated an area under the curve of 0.78 (95% CI: 0.67-0.90, p < 0.001), with a cutoff value of 5.14 presenting 76% sensitivity and 80% specificity. Conclusions The PSTC score, comprising two relatively brief cognitive test scores and NfLs CSF concentrations, could be useful for predicting short-term converters among patients diagnosed with pAD.
Collapse
Affiliation(s)
- Carlota Méndez-Barrio
- Department of Neurology, Memory Unit, Juan Ramón Jiménez University Hospital, Huelva, Spain
| | - Manuel Medina-Rodríguez
- Department of Neurology, University Hospital Virgen del Rocío, Seville, Spain
- Biomedicine Institute of Seville IBiS, University Hospital Virgen del Rocio/CSIC/University of Seville, Seville, Spain
| | | | - Ernesto García-Roldán
- Biomedicine Institute of Seville IBiS, University Hospital Virgen del Rocio/CSIC/University of Seville, Seville, Spain
- Department of Neurology, Memory Unit, Virgen del Rocío University Hospital, Seville, Spain
| | - Silvia Rodrigo-Herrero
- Department of Neurology, Memory Unit, Juan Ramón Jiménez University Hospital, Huelva, Spain
| | - Andrea Luque-Tirado
- Department of Neurology, Memory Unit, Virgen del Rocío University Hospital, Seville, Spain
| | | | - Emilio Franco-Macías
- Biomedicine Institute of Seville IBiS, University Hospital Virgen del Rocio/CSIC/University of Seville, Seville, Spain
- Department of Neurology, Memory Unit, Virgen del Rocío University Hospital, Seville, Spain
| |
Collapse
|
5
|
Grober E, Petersen KK, Lipton RB, Hassenstab J, Morris JC, Gordon BA, Ezzati A. Association of Stages of Objective Memory Impairment With Incident Symptomatic Cognitive Impairment in Cognitively Normal Individuals. Neurology 2023; 100:e2279-e2289. [PMID: 37076305 PMCID: PMC10259282 DOI: 10.1212/wnl.0000000000207276] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Accepted: 02/23/2023] [Indexed: 04/21/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Increasing evidence indicates that a subset of cognitively normal individuals has subtle cognitive impairment at baseline. We sought to identify them using the Stages of Objective Memory Impairment (SOMI) system. Symptomatic cognitive impairment was operationalized by a Clinical Dementia Rating (CDR) ≥0.5. We hypothesized that incident impairment would be higher for participants with subtle retrieval impairment (SOMI-1), higher still for those with moderate retrieval impairment (SOMI-2), and highest for those with storage impairment (SOMI-3/4) after adjusting for demographics and APOE ε4 status. A secondary objective was to determine whether including biomarkers of β-amyloid, tau pathology, and neurodegeneration in the models affect prediction. We hypothesized that even after adjusting for in vivo biomarkers, SOMI would remain a significant predictor of time to incident symptomatic cognitive impairment. METHODS Among 969 cognitively normal participants, defined by a CDR = 0, from the Knight Alzheimer Disease Research Center, SOMI stage was determined from their baseline Free and Cued Selective Reminding Test scores, 555 had CSF and structural MRI measures and comprised the biomarker subgroup, and 144 of them were amyloid positive. Cox proportional hazards models tested associations of SOMI stages at baseline and biomarkers with time to incident cognitive impairment defined as the transition to CDR ≥0.5. RESULTS Among all participants, the mean age was 69.35 years, 59.6% were female, and mean follow-up was 6.36 years. Participants in SOMI-1-4 had elevated hazard ratios for the transition from normal to impaired cognition in comparison with those who were SOMI-0 (no memory impairment). Individuals in SOMI-1 (mildly impaired retrieval) and SOMI-2 (moderately impaired retrieval) were at nearly double the risk of clinical progression compared with persons with no memory problems. When memory storage impairment emerges (SOMI-3/4), the hazard ratio for clinical progression increased approximately 3 times. SOMI stage remained an independent predictor of incident cognitive impairment after adjusting for all biomarkers. DISCUSSION SOMI predicts the transition from normal cognition to incident symptomatic cognitive impairment (CDR ≥0.5). The results support the use of SOMI to identify those cognitively normal participants most likely to develop incident cognitive impairment who can then be referred for biomarker screening.
Collapse
Affiliation(s)
- Ellen Grober
- From the Saul R. Korey (E.G., K.K.P., R.B.L., A.E.), Department of Neurology, Albert Einstein College of Medicine, Bronx, NY; and Department of Neurology (J.H., J.C.M., B.A.G.), Washington University School of Medicine, St. Louis, MO.
| | - Kellen K Petersen
- From the Saul R. Korey (E.G., K.K.P., R.B.L., A.E.), Department of Neurology, Albert Einstein College of Medicine, Bronx, NY; and Department of Neurology (J.H., J.C.M., B.A.G.), Washington University School of Medicine, St. Louis, MO
| | - Richard B Lipton
- From the Saul R. Korey (E.G., K.K.P., R.B.L., A.E.), Department of Neurology, Albert Einstein College of Medicine, Bronx, NY; and Department of Neurology (J.H., J.C.M., B.A.G.), Washington University School of Medicine, St. Louis, MO
| | - Jason Hassenstab
- From the Saul R. Korey (E.G., K.K.P., R.B.L., A.E.), Department of Neurology, Albert Einstein College of Medicine, Bronx, NY; and Department of Neurology (J.H., J.C.M., B.A.G.), Washington University School of Medicine, St. Louis, MO
| | - John C Morris
- From the Saul R. Korey (E.G., K.K.P., R.B.L., A.E.), Department of Neurology, Albert Einstein College of Medicine, Bronx, NY; and Department of Neurology (J.H., J.C.M., B.A.G.), Washington University School of Medicine, St. Louis, MO
| | - Brian A Gordon
- From the Saul R. Korey (E.G., K.K.P., R.B.L., A.E.), Department of Neurology, Albert Einstein College of Medicine, Bronx, NY; and Department of Neurology (J.H., J.C.M., B.A.G.), Washington University School of Medicine, St. Louis, MO
| | - Ali Ezzati
- From the Saul R. Korey (E.G., K.K.P., R.B.L., A.E.), Department of Neurology, Albert Einstein College of Medicine, Bronx, NY; and Department of Neurology (J.H., J.C.M., B.A.G.), Washington University School of Medicine, St. Louis, MO
| |
Collapse
|
6
|
Grober E, Lipton RB, Sperling RA, Papp KV, Johnson KA, Rentz DM, Veroff AE, Aisen PS, Ezzati A. Associations of Stages of Objective Memory Impairment With Amyloid PET and Structural MRI: The A4 Study. Neurology 2022; 98:e1327-e1336. [PMID: 35197359 PMCID: PMC8967421 DOI: 10.1212/wnl.0000000000200046] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Accepted: 01/03/2022] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND AND OBJECTIVES The goal of this work was to investigate the neuroimaging correlates of the Stages of Objective Memory Impairment (SOMI) system operationalized with the Free and Cued Selective Reminding Test (FCSRT), a widely used episodic memory measure. METHODS The FCSRT begins with a study phase in which items (e.g., grapes) are identified in response to unique semantic cues (e.g., fruit) that are used in the test phase to prompt recall of items not retrieved by free recall. There are 3 test trials of the 16 items (maximum 48). Data from 4,484 cognitively unimpaired participants from the Anti-Amyloid Treatment in Asymptomatic Alzheimer's (A4) study were used. All participants had amyloid PET imaging, and a subset of 1,262 β-amyloid (Aβ)-positive had structural MRIs. We compared the Aβ mean cortical standardized uptake value ratio (SUVR) and volumetric measures of hippocampus, parahippocampal gyrus, entorhinal cortex, and inferior temporal cortex between the 5 SOMI stages. RESULTS Participants had a mean age of 71.3 (SD 4.6) years; 40.6% were male; and 34.6% were APOE ε4 positive. Half had no memory impairment; the other half had retrieval deficits, storage limitations, or both. Analysis of covariance in the entire sample while controlling for age, sex, education, and APOE ε4 showed that individuals in higher SOMI stages had higher global amyloid SUVR (p < 0.001). Both SOMI-4 and -3 subgroups had higher amyloid SUVR than SOMI-0 and SOMI-1 subgroups. Individuals in higher SOMI stages had smaller hippocampal volume (p = 0.003), entorhinal cortex (p < 0.05), and inferior temporal lobes (p < 0.05), but there was no difference between parahippocampal gyrus volume of different SOMI stages. Pairwise comparison of SOMI subgroups showed that the SOMI-4, -3, and -2 subgroups had smaller hippocampal volume than the SOMI-0 and -1 subgroup. The SOMI-4 subgroup had significantly smaller entorhinal cortex and smaller inferior temporal lobe compared to all other groups. DISCUSSION Presence of Alzheimer disease pathology is closely related to memory impairment according to SOMI stages in the cognitively unimpaired sample of A4. Results from structural MRIs suggest that memory storage impairment (SOMI-3 and -4) is present when there is widespread medial temporal lobe atrophy. TRIAL REGISTRATION INFORMATION ClinicalTrials.gov identifier: NCT02008357. CLASSIFICATION OF EVIDENCE This study provides Class I evidence that, in normal older individuals, higher stages of memory impairment assessed with FCSRT were associated with higher amyloid imaging burden and lower volume of hippocampus, entorhinal cortex, and inferior temporal lobes.
Collapse
Affiliation(s)
- Ellen Grober
- From the Department of Neurology (E.G., R.B.L., A.E.V., A.E.), Albert Einstein College of Medicine, Bronx, NY; Harvard Aging Brain Study (R.A.S., K.V.P., K.A.J., D.M.R.), Department of Neurology, Massachusetts General Hospital, Harvard Medical School; Center for Alzheimer Research and Treatment (R.A.S., K.V.P., K.A.J., D.M.R.), Department of Neurology, Brigham and Women's Hospital, Boston, MA; and Alzheimer's Therapeutic Research Institute (P.S.A.), University of Southern California, San Diego.
| | - Richard B Lipton
- From the Department of Neurology (E.G., R.B.L., A.E.V., A.E.), Albert Einstein College of Medicine, Bronx, NY; Harvard Aging Brain Study (R.A.S., K.V.P., K.A.J., D.M.R.), Department of Neurology, Massachusetts General Hospital, Harvard Medical School; Center for Alzheimer Research and Treatment (R.A.S., K.V.P., K.A.J., D.M.R.), Department of Neurology, Brigham and Women's Hospital, Boston, MA; and Alzheimer's Therapeutic Research Institute (P.S.A.), University of Southern California, San Diego
| | - Reisa A Sperling
- From the Department of Neurology (E.G., R.B.L., A.E.V., A.E.), Albert Einstein College of Medicine, Bronx, NY; Harvard Aging Brain Study (R.A.S., K.V.P., K.A.J., D.M.R.), Department of Neurology, Massachusetts General Hospital, Harvard Medical School; Center for Alzheimer Research and Treatment (R.A.S., K.V.P., K.A.J., D.M.R.), Department of Neurology, Brigham and Women's Hospital, Boston, MA; and Alzheimer's Therapeutic Research Institute (P.S.A.), University of Southern California, San Diego
| | - Kathryn V Papp
- From the Department of Neurology (E.G., R.B.L., A.E.V., A.E.), Albert Einstein College of Medicine, Bronx, NY; Harvard Aging Brain Study (R.A.S., K.V.P., K.A.J., D.M.R.), Department of Neurology, Massachusetts General Hospital, Harvard Medical School; Center for Alzheimer Research and Treatment (R.A.S., K.V.P., K.A.J., D.M.R.), Department of Neurology, Brigham and Women's Hospital, Boston, MA; and Alzheimer's Therapeutic Research Institute (P.S.A.), University of Southern California, San Diego
| | - Keith A Johnson
- From the Department of Neurology (E.G., R.B.L., A.E.V., A.E.), Albert Einstein College of Medicine, Bronx, NY; Harvard Aging Brain Study (R.A.S., K.V.P., K.A.J., D.M.R.), Department of Neurology, Massachusetts General Hospital, Harvard Medical School; Center for Alzheimer Research and Treatment (R.A.S., K.V.P., K.A.J., D.M.R.), Department of Neurology, Brigham and Women's Hospital, Boston, MA; and Alzheimer's Therapeutic Research Institute (P.S.A.), University of Southern California, San Diego
| | - Dorene M Rentz
- From the Department of Neurology (E.G., R.B.L., A.E.V., A.E.), Albert Einstein College of Medicine, Bronx, NY; Harvard Aging Brain Study (R.A.S., K.V.P., K.A.J., D.M.R.), Department of Neurology, Massachusetts General Hospital, Harvard Medical School; Center for Alzheimer Research and Treatment (R.A.S., K.V.P., K.A.J., D.M.R.), Department of Neurology, Brigham and Women's Hospital, Boston, MA; and Alzheimer's Therapeutic Research Institute (P.S.A.), University of Southern California, San Diego
| | - Amy E Veroff
- From the Department of Neurology (E.G., R.B.L., A.E.V., A.E.), Albert Einstein College of Medicine, Bronx, NY; Harvard Aging Brain Study (R.A.S., K.V.P., K.A.J., D.M.R.), Department of Neurology, Massachusetts General Hospital, Harvard Medical School; Center for Alzheimer Research and Treatment (R.A.S., K.V.P., K.A.J., D.M.R.), Department of Neurology, Brigham and Women's Hospital, Boston, MA; and Alzheimer's Therapeutic Research Institute (P.S.A.), University of Southern California, San Diego
| | - Paul S Aisen
- From the Department of Neurology (E.G., R.B.L., A.E.V., A.E.), Albert Einstein College of Medicine, Bronx, NY; Harvard Aging Brain Study (R.A.S., K.V.P., K.A.J., D.M.R.), Department of Neurology, Massachusetts General Hospital, Harvard Medical School; Center for Alzheimer Research and Treatment (R.A.S., K.V.P., K.A.J., D.M.R.), Department of Neurology, Brigham and Women's Hospital, Boston, MA; and Alzheimer's Therapeutic Research Institute (P.S.A.), University of Southern California, San Diego
| | - Ali Ezzati
- From the Department of Neurology (E.G., R.B.L., A.E.V., A.E.), Albert Einstein College of Medicine, Bronx, NY; Harvard Aging Brain Study (R.A.S., K.V.P., K.A.J., D.M.R.), Department of Neurology, Massachusetts General Hospital, Harvard Medical School; Center for Alzheimer Research and Treatment (R.A.S., K.V.P., K.A.J., D.M.R.), Department of Neurology, Brigham and Women's Hospital, Boston, MA; and Alzheimer's Therapeutic Research Institute (P.S.A.), University of Southern California, San Diego
| |
Collapse
|
7
|
De Simone MS, Perri R, Rodini M, Fadda L, De Tollis M, Caltagirone C, Carlesimo GA. A Lack of Practice Effects on Memory Tasks Predicts Conversion to Alzheimer Disease in Patients With Amnestic Mild Cognitive Impairment. J Geriatr Psychiatry Neurol 2021; 34:582-593. [PMID: 32734799 DOI: 10.1177/0891988720944244] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
The aim of the current study was to test the accuracy of practice effects, that is, improvement in test performance due to repeated neuropsychological evaluations, in identifying patients with amnestic mild cognitive impairment (a-MCI) at greater risk of conversion to Alzheimer disease (AD). For this purpose, we conducted a longitudinal study of 54 patients diagnosed with a-MCI at the first assessment and followed-up for 4 years. During this time, 18 patients converted to AD. Baseline and 6- to 12-month follow-up performances on a large set of neuropsychological tests were analyzed to determine their diagnostic ability to predict later conversion to dementia. Results demonstrate that a lack of practice effects on episodic memory tests is an accurate prognostic indicator of late conversion to AD in a-MCI patients. In fact, even though the performance of both groups was substantially comparable at the baseline evaluation, stable a-MCI patients greatly improved their memory performance at retest after 6 to 12 months; instead, scores of converter a-MCI remained stable or decreased passing from baseline to follow-up. Standardized z-change scores on memory tasks, which were computed as a reliable measure of performance change, classified group membership with very good overall accuracy, which was higher than the classification of converter and stable a-MCIs provided by baseline or follow-up scores. We hypothesize that the lack of practice effects on memory tasks mirrors the early involvement of medial temporal lobe areas in converter a-MCI that are fundamental for the consolidation of new memory traces.
Collapse
Affiliation(s)
| | - Roberta Perri
- Laboratory of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Marta Rodini
- Laboratory of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Lucia Fadda
- Laboratory of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy.,Department of Systems Medicine, Tor Vergata University, Rome, Italy
| | - Massimo De Tollis
- Laboratory of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Carlo Caltagirone
- Laboratory of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy.,Department of Systems Medicine, Tor Vergata University, Rome, Italy
| | - Giovanni Augusto Carlesimo
- Laboratory of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy.,Department of Systems Medicine, Tor Vergata University, Rome, Italy
| |
Collapse
|
8
|
De Simone MS, De Tollis M, Fadda L, Perri R, Caltagirone C, Carlesimo GA. Lost or unavailable? Exploring mechanisms that affect retrograde memory in mild cognitive impairment and Alzheimer's disease patients. J Neurol 2019; 267:113-124. [PMID: 31571005 DOI: 10.1007/s00415-019-09559-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2019] [Revised: 09/21/2019] [Accepted: 09/24/2019] [Indexed: 12/13/2022]
Abstract
Retrograde amnesia has been largely documented in patients with amnestic mild cognitive impairment (a-MCI) and Alzheimer's disease (AD). However, it is still not clear whether ineffectiveness in recalling past acquired information reflects loss of individual memory traces or failure to access specific stored traces. We aimed to disentangle the differential contribution of storage and retrieval processes to the pattern of retrograde amnesia in these patients. This issue was investigated in 18 a-MCI and 19 AD patients who were compared to 20 healthy controls. A novel questionnaire about public events was used; it consisted of two procedures (i.e., a free recall test and a true/false recognition test). Crucial differences emerged in the way the two groups of patients performed the experimental tasks. In fact, although both a-MCI and AD patients showed a similar pattern of impairment on the free recall test, a-MCI patients were able to normalise their performance on the recognition test, thus overcoming their deficits at the time of recall. Conversely, AD patients showed both reduced free recall ability and diminished sensitivity to benefit from recognition in recalling public events. Our findings suggest that the memory processes underlying RA were different for a-MCI and AD. Deficits in remote memory are prevalently explained by impaired retrieval abilities in a-MCI and by impaired storage in AD. This distinction between retrograde amnesia due to defective trace utilisation in a-MCI and trace storage in AD is consistent with the temporal unfolding of declining anterograde memory over the course of disease progression to AD.
Collapse
Affiliation(s)
- Maria Stefania De Simone
- Laboratory of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, via Ardeatina, 306, 00179, Rome, Italy.
| | - Massimo De Tollis
- Laboratory of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, via Ardeatina, 306, 00179, Rome, Italy
| | - Lucia Fadda
- Laboratory of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, via Ardeatina, 306, 00179, Rome, Italy.,Department of Systems Medicine, Tor Vergata University, Rome, Italy
| | - Roberta Perri
- Laboratory of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, via Ardeatina, 306, 00179, Rome, Italy
| | - Carlo Caltagirone
- Laboratory of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, via Ardeatina, 306, 00179, Rome, Italy.,Department of Systems Medicine, Tor Vergata University, Rome, Italy
| | - Giovanni Augusto Carlesimo
- Laboratory of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, via Ardeatina, 306, 00179, Rome, Italy.,Department of Systems Medicine, Tor Vergata University, Rome, Italy
| |
Collapse
|
9
|
De Simone MS, Perri R, Fadda L, Caltagirone C, Carlesimo GA. Predicting progression to Alzheimer's disease in subjects with amnestic mild cognitive impairment using performance on recall and recognition tests. J Neurol 2018; 266:102-111. [PMID: 30386876 DOI: 10.1007/s00415-018-9108-0] [Citation(s) in RCA: 41] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2018] [Revised: 10/26/2018] [Accepted: 10/27/2018] [Indexed: 12/30/2022]
Abstract
The research of reliable procedures for predicting cognitive decline or stability in persons with amnestic mild cognitive impairment (a-MCI) is a major goal for the early identification of subjects in the prodromal stages of dementia. The aim of this study was to evaluate whether different memory performances on two procedures commonly used for the neuropsychological assessment of episodic memory (i.e., free recall and recognition) might be a key in predicting a-MCI patients' subsequent progression to Alzheimer's disease (AD). For this purpose, 80 patients diagnosed with a-MCI at the first assessment and followed-up for at least 3 years were included. During this time, 41 subjects remained in a stable condition of cognitive impairment or improved (stable-MCI) and 39 patients converted to AD dementia (converter-MCI). Sixty-two age- and education-matched healthy individuals were also recruited as healthy controls (HC). Baseline memory performance on the free recall (5th immediate and 15-min delayed) and yes/no recognition (the sensitivity measure d') of a 15-word list were analyzed. Results showed that stable-MCIs forgot significantly more information from immediate to delayed recall of the word list than HC, but exhibited a pronounced improvement of memory performance in the recognition test format. On the contrary, converter-MCIs showed diminished sensitivity in benefiting from cues for recognizing studied words. Word list recognition correctly classified group membership with good overall accuracy, which was higher compared to the classification of converter and stable a-MCIs provided by free recall; therefore, it could be a useful diagnostic tool for predicting progression to AD dementia from the prodromal stage.
Collapse
Affiliation(s)
- Maria Stefania De Simone
- Laboratory of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, V. Ardeatina, 306, 00179, Rome, Italy.
| | - Roberta Perri
- Laboratory of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, V. Ardeatina, 306, 00179, Rome, Italy
| | - Lucia Fadda
- Laboratory of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, V. Ardeatina, 306, 00179, Rome, Italy.,Department of Systems Medicine, Tor Vergata University, Rome, Italy
| | - Carlo Caltagirone
- Laboratory of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, V. Ardeatina, 306, 00179, Rome, Italy.,Department of Systems Medicine, Tor Vergata University, Rome, Italy
| | - Giovanni Augusto Carlesimo
- Laboratory of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, V. Ardeatina, 306, 00179, Rome, Italy.,Department of Systems Medicine, Tor Vergata University, Rome, Italy
| |
Collapse
|
10
|
Grande G, Vanacore N, Vetrano DL, Cova I, Rizzuto D, Mayer F, Maggiore L, Ghiretti R, Cucumo V, Mariani C, Cappa SF, Pomati S. Free and cued selective reminding test predicts progression to Alzheimer’s disease in people with mild cognitive impairment. Neurol Sci 2018; 39:1867-1875. [DOI: 10.1007/s10072-018-3507-y] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2018] [Accepted: 07/18/2018] [Indexed: 10/28/2022]
|
11
|
Wang T, Qiu RG, Yu M. Predictive Modeling of the Progression of Alzheimer's Disease with Recurrent Neural Networks. Sci Rep 2018; 8:9161. [PMID: 29907747 PMCID: PMC6003986 DOI: 10.1038/s41598-018-27337-w] [Citation(s) in RCA: 42] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2018] [Accepted: 05/21/2018] [Indexed: 12/27/2022] Open
Abstract
The number of service visits of Alzheimer's disease (AD) patients is different from each other and their visit time intervals are non-uniform. Although the literature has revealed many approaches in disease progression modeling, they fail to leverage these time-relevant part of patients' medical records in predicting disease's future status. This paper investigates how to predict the AD progression for a patient's next medical visit through leveraging heterogeneous medical data. Data provided by the National Alzheimer's Coordinating Center includes 5432 patients with probable AD from August 31, 2005 to May 25, 2017. Long short-term memory recurrent neural networks (RNN) are adopted. The approach relies on an enhanced "many-to-one" RNN architecture to support the shift of time steps. Hence, the approach can deal with patients' various numbers of visits and uneven time intervals. The results show that the proposed approach can be utilized to predict patients' AD progressions on their next visits with over 99% accuracy, significantly outperforming classic baseline methods. This study confirms that RNN can effectively solve the AD progression prediction problem by fully leveraging the inherent temporal and medical patterns derived from patients' historical visits. More promisingly, the approach can be customarily applied to other chronic disease progression problems.
Collapse
Affiliation(s)
- Tingyan Wang
- Health Care Services Research Center, Department of Industrial Engineering, Tsinghua University, Beijing, 100084, China
- Big Data Lab, Division of Engineering and Information Science, The Pennsylvania State University, Malvern, PA, 19355, USA
| | - Robin G Qiu
- Big Data Lab, Division of Engineering and Information Science, The Pennsylvania State University, Malvern, PA, 19355, USA.
| | - Ming Yu
- Health Care Services Research Center, Department of Industrial Engineering, Tsinghua University, Beijing, 100084, China
| |
Collapse
|
12
|
Neural correlates of episodic memory in the Memento cohort. ALZHEIMERS & DEMENTIA-TRANSLATIONAL RESEARCH & CLINICAL INTERVENTIONS 2018; 4:224-233. [PMID: 29955665 PMCID: PMC6021546 DOI: 10.1016/j.trci.2018.03.010] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Introduction The free and cued selective reminding test is used to identify memory deficits in mild cognitive impairment and demented patients. It allows assessing three processes: encoding, storage, and recollection of verbal episodic memory. Methods We investigated the neural correlates of these three memory processes in a large cohort study. The Memento cohort enrolled 2323 outpatients presenting either with subjective cognitive decline or mild cognitive impairment who underwent cognitive, structural MRI and, for a subset, fluorodeoxyglucose–positron emission tomography evaluations. Results Encoding was associated with a network including parietal and temporal cortices; storage was mainly associated with entorhinal and parahippocampal regions, bilaterally; retrieval was associated with a widespread network encompassing frontal regions. Discussion The neural correlates of episodic memory processes can be assessed in large and standardized cohorts of patients at risk for Alzheimer's disease. Their relation to pathophysiological markers of Alzheimer's disease remains to be studied. This is the largest cohort ever to be used in the study of the morpho-metabolic correlates of episodic memory in human, ensuring the validity of the obtained results. We found that encoding of information is linked to a posterior network previously evidenced to support working memory. The storage process was mainly supported in our study by medial temporal regions. Spontaneous retrieval of stimuli implicated broad neural networks including the frontal regions. These associations were particularly strong in APOE ε4 carriers suggesting that the free and selective reminding test is useful to detect Alzheimer's disease at an early stage.
Collapse
|
13
|
Different deficit patterns on word lists and short stories predict conversion to Alzheimer’s disease in patients with amnestic mild cognitive impairment. J Neurol 2017; 264:2258-2267. [DOI: 10.1007/s00415-017-8623-8] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2017] [Revised: 09/15/2017] [Accepted: 09/16/2017] [Indexed: 11/30/2022]
|
14
|
Mura T, Baramova M, Gabelle A, Artero S, Dartigues JF, Amieva H, Berr C. Predicting dementia using socio-demographic characteristics and the Free and Cued Selective Reminding Test in the general population. Alzheimers Res Ther 2017; 9:21. [PMID: 28335796 PMCID: PMC5364571 DOI: 10.1186/s13195-016-0230-x] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2016] [Accepted: 12/21/2016] [Indexed: 12/17/2022]
Abstract
BACKGROUND Our study aimed to determine whether the consideration of socio-demographic features improves the prediction of Alzheimer's dementia (AD) at 5 years when using the Free and Cued Selective Reminding Test (FCSRT) in the general older population. METHODS Our analyses focused on 2558 subjects from the prospective Three-City Study, a cohort of community-dwelling individuals aged 65 years and over, with FCSRT scores. Four "residual scores" and "risk scores" were built that included the FCSRT scores and socio-demographic variables. The predictive performance of crude, residual and risk scores was analyzed by comparing the areas under the ROC curve (AUC). RESULTS In total, 1750 subjects were seen 5 years after completing the FCSRT. AD was diagnosed in 116 of them. Compared with the crude free-recall score, the predictive performances of the residual score and of the risk score were not significantly improved (AUC: 0.83 vs 0.82 and 0.88 vs 0.89 respectively). CONCLUSION Using socio-demographic features in addition to the FCSRT does not improve its predictive performance for dementia or AD.
Collapse
Affiliation(s)
- Thibault Mura
- Neuropsychiatry: Epidemiological and Clinical Research, INSERM U1061, 34093 Montpellier, Cedex 5 France
- University of Montpellier, Montpellier, France
- Medical Information Department, University Hospital of Montpellier, Montpellier, France
| | - Marieta Baramova
- Neuropsychiatry: Epidemiological and Clinical Research, INSERM U1061, 34093 Montpellier, Cedex 5 France
| | - Audrey Gabelle
- Neuropsychiatry: Epidemiological and Clinical Research, INSERM U1061, 34093 Montpellier, Cedex 5 France
- University of Montpellier, Montpellier, France
- Memory Consultation, Centre Mémoire de Ressource et de Recherche, Gui de Chauliac University Hospital, Montpellier, France
| | - Sylvaine Artero
- Neuropsychiatry: Epidemiological and Clinical Research, INSERM U1061, 34093 Montpellier, Cedex 5 France
| | - Jean-François Dartigues
- Memory Consultation, Centre Mémoire de Ressource et de Recherche, University Hospital, Bordeaux, France
- ISPED, Centre INSERM U1219, Bordeaux Population Health Research Center, Bordeaux, France
- University of Bordeaux,, Centre INSERM U1219, Bordeaux Population Health Research Center, Bordeaux, France
| | - Hélène Amieva
- ISPED, Centre INSERM U1219, Bordeaux Population Health Research Center, Bordeaux, France
- University of Bordeaux,, Centre INSERM U1219, Bordeaux Population Health Research Center, Bordeaux, France
| | - Claudine Berr
- Neuropsychiatry: Epidemiological and Clinical Research, INSERM U1061, 34093 Montpellier, Cedex 5 France
- University of Montpellier, Montpellier, France
| |
Collapse
|
15
|
La Corte V, Sperduti M, Malherbe C, Vialatte F, Lion S, Gallarda T, Oppenheim C, Piolino P. Cognitive Decline and Reorganization of Functional Connectivity in Healthy Aging: The Pivotal Role of the Salience Network in the Prediction of Age and Cognitive Performances. Front Aging Neurosci 2016; 8:204. [PMID: 27616991 PMCID: PMC5003020 DOI: 10.3389/fnagi.2016.00204] [Citation(s) in RCA: 51] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2016] [Accepted: 08/09/2016] [Indexed: 11/25/2022] Open
Abstract
Normal aging is related to a decline in specific cognitive processes, in particular in executive functions and memory. In recent years a growing number of studies have focused on changes in brain functional connectivity related to cognitive aging. A common finding is the decreased connectivity within multiple resting state networks, including the default mode network (DMN) and the salience network. In this study, we measured resting state activity using fMRI and explored whether cognitive decline is related to altered functional connectivity. To this end we used a machine learning approach to classify young and old participants from functional connectivity data. The originality of the approach consists in the prediction of the performance and age of the subjects based on functional connectivity by using a machine learning approach. Our findings showed that the connectivity profile between specific networks predicts both the age of the subjects and their cognitive abilities. In particular, we report that the connectivity profiles between the salience and visual networks, and the salience and the anterior part of the DMN, were the features that best predicted the age. Moreover, independently of the age of the subject, connectivity between the salience network and various specific networks (i.e., visual, frontal) predicted episodic memory skills either based on a standard assessment or on an autobiographical memory task, and short-term memory binding. Finally, the connectivity between the salience and the frontal networks predicted inhibition and updating performance, but this link was no longer significant after removing the effect of age. Our findings confirm the crucial role of episodic memory and executive functions in cognitive aging and suggest a pivotal role of the salience network in neural reorganization in aging.
Collapse
Affiliation(s)
- Valentina La Corte
- Laboratory of Memory and Cognition, Institute of Psychology, University Paris DescartesParis, France; INSERM UMR S894, Center of Psychiatry and Neurosciences, University Paris DescartesParis, France; IDEX 'Dynamique du Vieillir', Sorbonne Paris Cité, University Paris DiderotParis, France
| | - Marco Sperduti
- Laboratory of Memory and Cognition, Institute of Psychology, University Paris DescartesParis, France; INSERM UMR S894, Center of Psychiatry and Neurosciences, University Paris DescartesParis, France
| | - Caroline Malherbe
- INSERM U894, Center of Psychiatry and Neurosciences, Department of Radiology, University Paris DescartesParis, France; Department of Computational Neuroscience, University Medical Center EppendorfHamburg, Germany; Clinic and Polyclinic of Neurology, University Medical Center EppendorfHamburg, Germany
| | | | - Stéphanie Lion
- INSERM U894, Center of Psychiatry and Neurosciences, Department of Radiology, University Paris Descartes Paris, France
| | - Thierry Gallarda
- INSERM UMR S894, Center of Psychiatry and Neurosciences, University Paris DescartesParis, France; Laboratory of Physiopathology of Psychiatric Diseases, Center of Psychiatry and NeurosciencesParis, France
| | - Catherine Oppenheim
- INSERM U894, Center of Psychiatry and Neurosciences, Department of Radiology, University Paris Descartes Paris, France
| | - Pascale Piolino
- Laboratory of Memory and Cognition, Institute of Psychology, University Paris DescartesParis, France; INSERM UMR S894, Center of Psychiatry and Neurosciences, University Paris DescartesParis, France; IDEX 'Dynamique du Vieillir', Sorbonne Paris Cité, University Paris DiderotParis, France; University Institute of France, IUFParis, France
| |
Collapse
|
16
|
Philippi N, Noblet V, Duron E, Cretin B, Boully C, Wisniewski I, Seux ML, Martin-Hunyadi C, Chaussade E, Demuynck C, Kremer S, Lehéricy S, Gounot D, Armspach JP, Hanon O, Blanc F. Exploring anterograde memory: a volumetric MRI study in patients with mild cognitive impairment. ALZHEIMERS RESEARCH & THERAPY 2016; 8:26. [PMID: 27473839 PMCID: PMC4967326 DOI: 10.1186/s13195-016-0190-1] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/29/2016] [Accepted: 04/29/2016] [Indexed: 11/10/2022]
Abstract
BACKGROUND The aim of this volumetric study was to explore the neuroanatomical correlates of the Free and Cued Selective Reminding Test (FCSRT) and the Delayed Matching-to-Sample-48 items (DMS-48), two tests widely used in France to assess verbal and visual anterograde memory. We wanted to determine to what extent the two tests rely on the medial temporal lobe, and could therefore be predictive of Alzheimer's disease, in which pathological changes typically start in this region. METHODS We analysed data from a cohort of 138 patients with mild cognitive impairment participating in a longitudinal multicentre clinical research study. Verbal memory was assessed using the FCSRT and visual recognition memory was evaluated using the DMS-48. Performances on these two tests were correlated to local grey matter atrophy via structural MRI using voxel-based morphometry. RESULTS Our results confirm the existence of a positive correlation between the volume of the medial temporal lobe and the performance on the FCSRT, prominently on the left, and the performance on the DMS-48, on the right, for the whole group of patients (family-wise error, P < 0.05). Interestingly, this region remained implicated only in the subgroup of patients who had deficient scores on the cued recall of the FCSRT, whereas the free recall was associated with prefrontal aspects. For the DMS-48, it was only implicated for the group of patients whose performances declined between the immediate and delayed trial. Conversely, temporo-parietal cortices were implicated when no decline was observed. Within the medial temporal lobe, the parahippocampal gyrus was prominently involved for the FCSRT and the immediate trial of the DMS-48, whereas the hippocampus was solely involved for the delayed trial of the DMS-48. CONCLUSIONS The two tests are able to detect an amnestic profile of the medial temporal type, under the condition that the scores remain deficient after the cued recall of the FCSRT or decline on the delayed recognition trial of the DMS-48. Strategic retrieval as well as perceptual/attentional processes, supported by prefrontal and temporo-parietal cortices, were also found to have an impact on the performances. Finally, the implication of the hippocampus appears time dependent, triggered by a longer delay than the parahippocampus, rather than determined by the sense of recollection or the encoding strength associated with the memory trace.
Collapse
Affiliation(s)
- N Philippi
- Department of Neurology, University Hospital of Strasbourg, Neuropsychology Unit, Strasbourg, France. .,University of Strasbourg, CNRS, ICube laboratory, FMTS, Strasbourg, France. .,University Hospital of Strasbourg, Centre Mémoire Ressources et Recherche, Strasbourg, France. .,Department of Geriatrics, University Hospital of Strasbourg, Strasbourg, France.
| | - V Noblet
- University of Strasbourg, CNRS, ICube laboratory, FMTS, Strasbourg, France
| | - E Duron
- Department of Geriatrics, Broca Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France
| | - B Cretin
- Department of Neurology, University Hospital of Strasbourg, Neuropsychology Unit, Strasbourg, France.,University Hospital of Strasbourg, Centre Mémoire Ressources et Recherche, Strasbourg, France
| | - C Boully
- Department of Geriatrics, Broca Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France
| | - I Wisniewski
- University of Strasbourg, CNRS, ICube laboratory, FMTS, Strasbourg, France
| | - M L Seux
- Department of Geriatrics, Broca Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France
| | - C Martin-Hunyadi
- University Hospital of Strasbourg, Centre Mémoire Ressources et Recherche, Strasbourg, France.,Department of Geriatrics, University Hospital of Strasbourg, Strasbourg, France
| | - E Chaussade
- Department of Geriatrics, Broca Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France
| | - C Demuynck
- University Hospital of Strasbourg, Centre Mémoire Ressources et Recherche, Strasbourg, France.,Department of Geriatrics, University Hospital of Strasbourg, Strasbourg, France
| | - S Kremer
- University of Strasbourg, CNRS, ICube laboratory, FMTS, Strasbourg, France.,Department of Radiology, University Hospital of Strasbourg, Strasbourg, France
| | - S Lehéricy
- Department of Neuroradiology, Groupe Hospitalier Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris, Paris, France.,UPMC Paris 6-Inserm U1127, CNRS 7225, Institut du Cerveau et de la Moelle (ICM), Centre de NeuroImagerie de Recherche (CENIR), Paris, France
| | - D Gounot
- University of Strasbourg, CNRS, ICube laboratory, FMTS, Strasbourg, France
| | - J P Armspach
- University of Strasbourg, CNRS, ICube laboratory, FMTS, Strasbourg, France
| | - O Hanon
- Department of Geriatrics, Broca Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France.,Paris Descartes University, Sorbonne Paris Cité, EA4468, Paris, France
| | - F Blanc
- Department of Neurology, University Hospital of Strasbourg, Neuropsychology Unit, Strasbourg, France.,University of Strasbourg, CNRS, ICube laboratory, FMTS, Strasbourg, France.,University Hospital of Strasbourg, Centre Mémoire Ressources et Recherche, Strasbourg, France.,Department of Geriatrics, University Hospital of Strasbourg, Strasbourg, France
| |
Collapse
|