Xulin Liu, Peter Simon Jones, Maurice Pasternak, Mario Masellis, Arabella Bouzigues, Lucy L. Russell, Phoebe H. Foster, Eve Ferry-Bolder, John van Swieten, Lize Jiskoot, Harro Seelaar, Raquel Sanchez-Valle, Robert Laforce, Caroline Graff, Daniela Galimberti, Rik Vandenberghe, Alexandre de Mendonça, Pietro Tiraboschi, Isabel Santana, Alexander Gerhard, Johannes Levin, Sandro Sorbi, Markus Otto, Florence Pasquier, Simon Ducharme, Chris Butler, Isabelle Le Ber, Elizabeth Finger, Maria Carmela Tartaglia, Matthis Synofzik, Fermin Moreno, Barbara Borroni, Jonathan D. Rohrer, Kamen A. Tsvetanov, James B. Rowe
Genetic mutation carriers of frontotemporal dementia can remain cognitively well despite neurodegeneration. A better understanding of brain structural, perfusion, and functional patterns in the pre-symptomatic stage could inform accurate staging and potential mechanisms.
{"title":"Frontoparietal network integrity supports cognitive function in pre-symptomatic frontotemporal dementia: Multimodal analysis of brain function, structure, and perfusion","authors":"Xulin Liu, Peter Simon Jones, Maurice Pasternak, Mario Masellis, Arabella Bouzigues, Lucy L. Russell, Phoebe H. Foster, Eve Ferry-Bolder, John van Swieten, Lize Jiskoot, Harro Seelaar, Raquel Sanchez-Valle, Robert Laforce, Caroline Graff, Daniela Galimberti, Rik Vandenberghe, Alexandre de Mendonça, Pietro Tiraboschi, Isabel Santana, Alexander Gerhard, Johannes Levin, Sandro Sorbi, Markus Otto, Florence Pasquier, Simon Ducharme, Chris Butler, Isabelle Le Ber, Elizabeth Finger, Maria Carmela Tartaglia, Matthis Synofzik, Fermin Moreno, Barbara Borroni, Jonathan D. Rohrer, Kamen A. Tsvetanov, James B. Rowe","doi":"10.1002/alz.14299","DOIUrl":"https://doi.org/10.1002/alz.14299","url":null,"abstract":"Genetic mutation carriers of frontotemporal dementia can remain cognitively well despite neurodegeneration. A better understanding of brain structural, perfusion, and functional patterns in the pre-symptomatic stage could inform accurate staging and potential mechanisms.","PeriodicalId":7471,"journal":{"name":"Alzheimer's & Dementia","volume":"7 1","pages":""},"PeriodicalIF":14.0,"publicationDate":"2024-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142444243","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Rong Fang,Marco Duering,Felix J Bode,Sebastian Stösser,Julius N Meißner,Peter Hermann,Thomas G Liman,Christian H Nolte,Lucia Kerti,Benno Ikenberg,Kathleen Bernkopf,Wenzel Glanz,Daniel Janowitz,Michael Wagner,Katja Neumann,Oliver Speck,Emrah Düzel,Benno Gesierich,Anna Dewenter,Annika Spottke,Karin Waegemann,Michael Görtler,Silke Wunderlich,Inga Zerr,Gabor C Petzold,Matthias Endres,Marios K Georgakis,Martin Dichgans,
INTRODUCTIONWhile incident ischemic lesions (IILs) are not unusual on follow-up magnetic resonance imaging (MRI) following stroke, their risk factors and prognostic significance remain unknown.METHODSIn a prospective multicenter study of 503 acute stroke patients, we assessed IILs on registered MRI images at baseline and 6 months, analyzing risk factors and clinical outcomes across 36 months.RESULTSAt 6 months, 78 patients (15.5%) had IILs, mostly diffusion-weighted imaging-positive (72%) and clinically covert (91%). Older age and small vessel disease (SVD) lesions were baseline risk factors for IILs. IILs were associated with worse cognitive (beta for global cognition: -0.31, 95% confidence interval [CI]: -0.48 to -0.14) and functional outcomes (beta for modified Rankin scale [mRS]: 0.36, 95% CI: 0.14 to 0.58), and higher recurrent stroke risk (hazard ratio: 3.81, 95% CI: 1.35 to 10.69). IILs partially explained the relationship between SVD and poor cognition.DISCUSSIONIILs are common and are associated with worse cognitive and functional outcomes and stroke recurrence risk. Assessing IILs following stroke might aid prognostication.HIGHLIGHTSIncident ischemic lesions (IILs) were assessed with registered baseline and 6-month magnetic resonance imaging (MRI) scans in a stroke cohort. IILs 6 months after stroke are present in one-sixth of patients and are mostly clinically silent. Small vessel disease burden is the main baseline risk factor for IILs. IILs are associated with cognitive and functional impairment and stroke recurrence. Assessing IILs by follow-up MRI aids long-term prognostication for stroke patients.
{"title":"Risk factors and clinical significance of post-stroke incident ischemic lesions.","authors":"Rong Fang,Marco Duering,Felix J Bode,Sebastian Stösser,Julius N Meißner,Peter Hermann,Thomas G Liman,Christian H Nolte,Lucia Kerti,Benno Ikenberg,Kathleen Bernkopf,Wenzel Glanz,Daniel Janowitz,Michael Wagner,Katja Neumann,Oliver Speck,Emrah Düzel,Benno Gesierich,Anna Dewenter,Annika Spottke,Karin Waegemann,Michael Görtler,Silke Wunderlich,Inga Zerr,Gabor C Petzold,Matthias Endres,Marios K Georgakis,Martin Dichgans,","doi":"10.1002/alz.14274","DOIUrl":"https://doi.org/10.1002/alz.14274","url":null,"abstract":"INTRODUCTIONWhile incident ischemic lesions (IILs) are not unusual on follow-up magnetic resonance imaging (MRI) following stroke, their risk factors and prognostic significance remain unknown.METHODSIn a prospective multicenter study of 503 acute stroke patients, we assessed IILs on registered MRI images at baseline and 6 months, analyzing risk factors and clinical outcomes across 36 months.RESULTSAt 6 months, 78 patients (15.5%) had IILs, mostly diffusion-weighted imaging-positive (72%) and clinically covert (91%). Older age and small vessel disease (SVD) lesions were baseline risk factors for IILs. IILs were associated with worse cognitive (beta for global cognition: -0.31, 95% confidence interval [CI]: -0.48 to -0.14) and functional outcomes (beta for modified Rankin scale [mRS]: 0.36, 95% CI: 0.14 to 0.58), and higher recurrent stroke risk (hazard ratio: 3.81, 95% CI: 1.35 to 10.69). IILs partially explained the relationship between SVD and poor cognition.DISCUSSIONIILs are common and are associated with worse cognitive and functional outcomes and stroke recurrence risk. Assessing IILs following stroke might aid prognostication.HIGHLIGHTSIncident ischemic lesions (IILs) were assessed with registered baseline and 6-month magnetic resonance imaging (MRI) scans in a stroke cohort. IILs 6 months after stroke are present in one-sixth of patients and are mostly clinically silent. Small vessel disease burden is the main baseline risk factor for IILs. IILs are associated with cognitive and functional impairment and stroke recurrence. Assessing IILs by follow-up MRI aids long-term prognostication for stroke patients.","PeriodicalId":7471,"journal":{"name":"Alzheimer's & Dementia","volume":"232 1","pages":""},"PeriodicalIF":14.0,"publicationDate":"2024-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142448063","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
INTRODUCTIONOculomotor and gait dysfunctions are closely associated with cognition. However, oculo-gait patterns and their correlation with cognition in cerebral small vessel disease (CSVD) remain unclear.METHODSPatients with CSVD from a hospital-based cohort (n = 194) and individuals with presumed early CSVD from a community-based cohort (n = 319) were included. Oculo-gait patterns were measured using the artificial intelligence (AI) -assisted 'EyeKnow' eye-tracking and 'ReadyGo' motor evaluation systems. Multivariable linear and logistic regression models were employed to investigate the association between the oculo-gait parameters and cognition.RESULTSAnti-saccade accuracy, stride velocity, and swing velocity were significantly associated with cognition in both patients and community dwellers with CSVD, and could identify cognitive impairment in CSVD with moderate accuracy (area under the curve [AUC]: hospital cohort, 0.787; community cohort, 0.810) after adjusting for age and education.DISCUSSIONThe evaluation of oculo-gait features (anti-saccade accuracy, stride velocity, and swing velocity) may help screen cognitive impairment in CSVD.HIGHLIGHTSOculo-gait features (lower anti-saccade accuracy, stride velocity, and swing velocity) were associated with cognitive impairment in cerebral small vessel disease (CSVD). Logistic model integrating the oculo-gait features, age, and education level moderately distinguished cognitive status in CSVD. Artificial intelligence-assisted oculomotor and gait measurements provide quick and accurate evaluation in hospital and community settings.
{"title":"Artificial intelligence-assisted oculo-gait measurements for cognitive impairment in cerebral small vessel disease.","authors":"Huimin Chen,Hao Du,Fang Yi,Tingting Wang,Shuo Yang,Yuesong Pan,Hongyi Yan,Dandan Liu,Mengyuan Zhou,Yiyi Chen,Mengxi Zhao,Jingtao Pi,Yingying Yang,Xiangmin Fan,Xueli Cai,Ziyu Qiu,Jipeng Zhang,Yawei Liu,Wenping Gu,Yilong Wang","doi":"10.1002/alz.14288","DOIUrl":"https://doi.org/10.1002/alz.14288","url":null,"abstract":"INTRODUCTIONOculomotor and gait dysfunctions are closely associated with cognition. However, oculo-gait patterns and their correlation with cognition in cerebral small vessel disease (CSVD) remain unclear.METHODSPatients with CSVD from a hospital-based cohort (n = 194) and individuals with presumed early CSVD from a community-based cohort (n = 319) were included. Oculo-gait patterns were measured using the artificial intelligence (AI) -assisted 'EyeKnow' eye-tracking and 'ReadyGo' motor evaluation systems. Multivariable linear and logistic regression models were employed to investigate the association between the oculo-gait parameters and cognition.RESULTSAnti-saccade accuracy, stride velocity, and swing velocity were significantly associated with cognition in both patients and community dwellers with CSVD, and could identify cognitive impairment in CSVD with moderate accuracy (area under the curve [AUC]: hospital cohort, 0.787; community cohort, 0.810) after adjusting for age and education.DISCUSSIONThe evaluation of oculo-gait features (anti-saccade accuracy, stride velocity, and swing velocity) may help screen cognitive impairment in CSVD.HIGHLIGHTSOculo-gait features (lower anti-saccade accuracy, stride velocity, and swing velocity) were associated with cognitive impairment in cerebral small vessel disease (CSVD). Logistic model integrating the oculo-gait features, age, and education level moderately distinguished cognitive status in CSVD. Artificial intelligence-assisted oculomotor and gait measurements provide quick and accurate evaluation in hospital and community settings.","PeriodicalId":7471,"journal":{"name":"Alzheimer's & Dementia","volume":"41 1","pages":""},"PeriodicalIF":14.0,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142443759","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Benjamin Aretz, Gabriele Doblhammer, Michael T. Heneka
Our understanding of how fine particulate matter (PM2.5) impacts cognitive functioning is limited. Systemic inflammation processes may play a role in mediating this effect.
{"title":"The role of leukocytes in cognitive impairment due to long-term exposure to fine particulate matter: A large population-based mediation analysis","authors":"Benjamin Aretz, Gabriele Doblhammer, Michael T. Heneka","doi":"10.1002/alz.14320","DOIUrl":"https://doi.org/10.1002/alz.14320","url":null,"abstract":"Our understanding of how fine particulate matter (PM<sub>2.5</sub>) impacts cognitive functioning is limited. Systemic inflammation processes may play a role in mediating this effect.","PeriodicalId":7471,"journal":{"name":"Alzheimer's & Dementia","volume":"44 1","pages":""},"PeriodicalIF":14.0,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142440440","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Puja Agarwal, Lisa L. Barnes, Klodian Dhana, Xiaoran Liu, Yanyu Zhang, Todd Beck, Marilyn C. Cornelis, Christy Tangney, Kumar B. Rajan
We examined the Mediterranean–Dietary Approaches to Stop Hypertension Intervention for Neurodegenerative Delay (MIND) diet's association with cognitive decline by race among older adults in the Chicago Health and Aging Project.
我们研究了 "芝加哥健康与老龄化项目"(Chicago Health and Aging Project)中不同种族老年人的地中海饮食法(Mediterranean-Dietary Approaches to Stop Hypertension Intervention for Neurodegenerative Delay,MIND)与认知能力下降的关系。
{"title":"Association of MIND diet with cognitive decline among Black and White older adults","authors":"Puja Agarwal, Lisa L. Barnes, Klodian Dhana, Xiaoran Liu, Yanyu Zhang, Todd Beck, Marilyn C. Cornelis, Christy Tangney, Kumar B. Rajan","doi":"10.1002/alz.14277","DOIUrl":"https://doi.org/10.1002/alz.14277","url":null,"abstract":"We examined the Mediterranean–Dietary Approaches to Stop Hypertension Intervention for Neurodegenerative Delay (MIND) diet's association with cognitive decline by race among older adults in the Chicago Health and Aging Project.","PeriodicalId":7471,"journal":{"name":"Alzheimer's & Dementia","volume":"30 1","pages":""},"PeriodicalIF":14.0,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142440445","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Emilie T. Reas, Seraphina K. Solders, Amaryllis Tsiknia, Curtis Triebswetter, Qian Shen, Charlotte S. Rivera, Murray J. Andrews, Austin Alderson-Myers, James B. Brewer
Blood–brain barrier (BBB) dysfunction occurs in Alzheimer's disease (AD). Yet, the stage at which it appears along the AD time course and whether it contributes to neurodegeneration remain unclear.
{"title":"APOE 𝜀4-related blood–brain barrier breakdown is associated with microstructural abnormalities","authors":"Emilie T. Reas, Seraphina K. Solders, Amaryllis Tsiknia, Curtis Triebswetter, Qian Shen, Charlotte S. Rivera, Murray J. Andrews, Austin Alderson-Myers, James B. Brewer","doi":"10.1002/alz.14302","DOIUrl":"https://doi.org/10.1002/alz.14302","url":null,"abstract":"Blood–brain barrier (BBB) dysfunction occurs in Alzheimer's disease (AD). Yet, the stage at which it appears along the AD time course and whether it contributes to neurodegeneration remain unclear.","PeriodicalId":7471,"journal":{"name":"Alzheimer's & Dementia","volume":"93 1","pages":""},"PeriodicalIF":14.0,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142440442","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Suzanne E. Schindler, Kellen K. Petersen, Benjamin Saef, Duygu Tosun, Leslie M. Shaw, Henrik Zetterberg, Jeffrey L. Dage, Kyle Ferber, Gallen Triana-Baltzer, Lei Du-Cuny, Yan Li, Janaky Coomaraswamy, Michael Baratta, Yulia Mordashova, Ziad S. Saad, David L. Raunig, Nicholas J. Ashton, Emily A. Meyers, Carrie E. Rubel, Erin G. Rosenbaugh, Anthony W. Bannon, William Z. Potter, Alzheimer's Disease Neuroimaging Initiative (ADNI) Foundation for the National Institutes of Health (FNIH) Biomarkers Consortium Plasma Aβ and Phosphorylated Tau as Predictors of Amyloid and Tau Positivity in Alzheimer's Disease Project Team