Article
Neurosciences
Zhenrong Fu, Mingyan Zhao, Yuxia Li, Yirong He, Xuetong Wang, Zongkui Zhou, Ying Han, Shuyu Li
Summary: This study evaluated SCD subtypes in a Chinese cohort and examined associated neuroimaging markers, biomarkers, and clinical outcomes. Four subtypes were identified: dysexecutive/mixed SCD, neuropsychiatric SCD, amnestic SCD, and cluster-derived normal. Each subtype showed distinct patterns in gray matter volume and amplitude of low-frequency fluctuations.
CNS NEUROSCIENCE & THERAPEUTICS
(2023)
Article
Neurosciences
Jean Ikanga, Sabrina Hickle, Megan Schwinne, Emmanuel Epenge, Guy Gikelekele, Immaculee Kavugho, Nathan Tsengele, Mampunza Samuel, Liping Zhao, Deqiang Qiu, Anthony Stringer, Amit M. Saindane, Alvaro Alonso, Daniel L. Drane
Summary: This study explores the association between hippocampal volume and memory in healthy and probable Alzheimer's disease patients in the Democratic Republic of Congo. The results show that probable AD patients perform worse on memory tests and exhibit greater cerebral atrophy. The study demonstrates the feasibility of conducting neuroimaging research in Africa and suggests that cardiovascular problems are more prominent in African countries compared to Western countries.
JOURNAL OF ALZHEIMERS DISEASE
(2023)
Article
Neurosciences
Marie Caillaud, Samantha Maltezos, Carol Hudon, Samira Mellah, Sylvie Belleville
Summary: This study aimed to investigate whether hippocampal volume and APOE4 can predict inter-individual differences in memory performance among SCD individuals and identify a meaningful clinical subgroup. The results showed that hippocampal volume was the best predictor of memory performance. Comparisons between two SCD subgroups, one with small hippocampal volume and another with normal hippocampal volume, revealed that the small hippocampal volume subgroup had similar memory performance as the MCI group, while the normal hippocampal volume subgroup performed similarly to the control group.
JOURNAL OF ALZHEIMERS DISEASE
(2023)
Article
Behavioral Sciences
Amy Shepherd, Tracy Zhang, Lucas B. Hoffmann, Ariel M. Zeleznikow-Johnston, Leonid Churilov, Anthony J. Hannan, Emma L. Burrows
Summary: This study evaluated the effects of touchscreen testing on hippocampal-dependent learning in the APP/PS1 mouse model, demonstrating that touchscreen training may enhance cognitive performance, increase neurogenesis, and mask cognitive deficits in mice.
FRONTIERS IN BEHAVIORAL NEUROSCIENCE
(2021)
Article
Neurosciences
Cassandra Morrison, Mahsa Dadar, Neda Shafiee, D. Louis Collins, Alzheimer's Dis Neuroimaging Initiat
Summary: Much research has been done on neurodegeneration in aging and Alzheimer's disease (AD). A new measure called Scoring by Nonlocal Image Patch Estimator (SNIPE) was developed to measure hippocampal change. SNIPE grading showed higher classification accuracy compared to hippocampal volume and Freesurfer volume in identifying individuals with AD. This finding suggests that SNIPE grading can accurately identify people with and without AD.
HUMAN BRAIN MAPPING
(2023)
Article
Neurosciences
Antonella Di Vita, Francesca Vecchione, Maddalena Boccia, Alessia Bocchi, Maria Cristina Cinelli, Pierandrea Mirino, Alice Teghil, Fabrizia D'Antonio, Carlo de Lena, Laura Piccardi, Anna Maria Giannini, Cecilia Guariglia
Summary: This study presents the development of a computerized battery called DiaNe for the early diagnosis of neurocognitive diseases. It is a self-administered tool that can screen cognitive profile and monitor changes over time, showing comparable results to existing paper-and-pencil neuropsychological tests.
JOURNAL OF ALZHEIMERS DISEASE
(2022)
Review
Neurosciences
Stefano Lasaponara, Fabio Marson, Fabrizio Doricchi, Marco Cavallo
Summary: Neurodegenerative diseases, such as Alzheimer's disease and Parkinson's disease, lack viable pharmacological options for cognitive symptoms and are being targeted with Computerized Cognitive Training (CCT) and Virtual Reality (VR) tools. This paper aims to report the state-of-the-art of CCT and VR studies targeting cognitive impairment in common neurodegenerative conditions, in order to support healthcare professionals in considering these promising therapeutic tools for rehabilitation.
Article
Clinical Neurology
Minoru Kouzuki, Madoka Miyamoto, Nobuto Tanaka, Katsuya Urakami
Summary: In this study, the researchers examined the ability of the MARC assessment tool for distinguishing ADD, MCI, and NDC groups. The results showed that MARC is capable of accurately distinguishing MCI, and it has good validity and reliability. The tool can be administered in a short period of time without the need for a specialist.
Article
Psychology, Multidisciplinary
Alfonso Delgado-Alvarez, Cristina Delgado-Alonso, Miriam Goudsmit, Rocio Garcia-Ramos, Maria Jose Gil-Moreno, Maria Valles-Salgado, Maria Diez-Cirarda, Maria Dolores Zamarron-Cassinello, Jorge Matias-Guiu, Jordi A. Matias-Guiu
Summary: The Cross-Cultural Dementia (CCD) is a new screening tool that evaluates cognitive impairment from a cross-cultural perspective. It reduces the bias of education, language, and cultural differences. The CCD showed good discrimination properties and cut-off scores for dementia and extended its application to prodromal stages of Alzheimer's disease and Parkinson's disease.
FRONTIERS IN PSYCHOLOGY
(2023)
Article
Neurosciences
Minjae Kim, Dahyun Yi, Min Soo Byun, Hyejin Ahn, Joon Hyung Jung, Nayeong Kong, Yoonyoung Chang, Hyeji Choi, Jungmin Choi, Kyungtae Kim, Gijung Jung, Dong Young Lee
Summary: This study aimed to develop a culturally appropriate cognitive composite that can sensitively identify subtle cognitive decline in Korean older adults with preclinical Alzheimer's disease (AD). Through careful selection of tests for various cognitive functions, a final cognitive composite (CPAD) for Korean older adults was established.
JOURNAL OF ALZHEIMERS DISEASE
(2023)
Article
Clinical Neurology
Stephanie Langella, Francisco Lopera, Ana Baena, Joshua T. Fox-Fuller, Diana Munera, Jairo E. Martinez, Averi Giudicessi, Patrizia Vannini, Bernard J. Hanseeuw, Gad A. Marshall, Yakeel T. Quiroz, Jennifer R. Gatchel
Summary: This study examined the relationship between hippocampal volume and depressive symptoms in preclinical AD patients. The results showed that in carriers of the PSEN1 mutation, smaller hippocampal volume was associated with greater depressive symptoms, while this relationship was not significant in non-carriers.
ALZHEIMERS & DEMENTIA
(2023)
Article
Neurosciences
Lin Huang, Yatian Li, Jingnan Wu, Nan Chen, Huanhuan Xia, Qihao Guo
Summary: A voice recognition-based cognitive assessment tool has been developed and demonstrated to have good diagnostic accuracy in detecting MCI and AD dementia. The tool performs well in measuring visual memory, language, and executive function, and has the potential to facilitate large-scale community screening.
JOURNAL OF ALZHEIMERS DISEASE
(2023)
Review
Neurosciences
Laura Glass Umfleet, Robert M. Bilder, David W. Loring, April Thames, Benjamin M. Hampstead, Russell M. Bauer, Daniel L. Drane, Lucia Cavanagh
Summary: Cognitive screening instruments (CSI) have limited effectiveness for detecting dementia in older adults living in the community. This article proposes a framework for transitioning from traditional CSI to advanced dementia screening methods that incorporate psychometrics, neuroscience, and technology. A psychometrically advanced, automated selective assessment model utilizing item response theory is suggested for an assessment revolution. The article also discusses the modernization of CSIs, diversity and inclusion issues, challenges in differentiating normal from pathological aging, and ethical considerations.
JOURNAL OF ALZHEIMERS DISEASE
(2023)
Article
Immunology
Yusheng Liang, Xu Kang, Haiwang Zhang, Heng Xu, Xian Wu
Summary: Inhibition of GPR17 improves cognitive impairment induced by LPS in mice. In addition to improving cholinergic dysfunction, inhibition of GPR17 also regulates oxidative stress and neuroinflammation.
JOURNAL OF NEUROINFLAMMATION
(2023)
Review
Geriatrics & Gerontology
Ming-Wan Su, Jing-Nian Ni, Tian-Yu Cao, Shuo-Shi Wang, Jing Shi, Jin-Zhou Tian
Summary: This study found a positive correlation between olfactory test scores and hippocampal volume in AD and MCI patients, with a more significant correlation in the cognitive disorder group compared to normal controls. Age difference and patient type were identified as main sources of heterogeneity in this analysis. The mildness of the correlation suggests that olfactory tests may be more accurate when combined with other non-invasive examinations for early detection.
FRONTIERS IN AGING NEUROSCIENCE
(2021)
Article
Clinical Neurology
Jonathan Voeglein, Nicolai Franzmeier, John C. Morris, Marianne Dieterich, Eric McDade, Mikael Simons, Oliver Preische, Anna Hofmann, Jason Hassenstab, Tammie L. Benzinger, Anne Fagan, James M. Noble, Sarah B. Berman, Neill R. Graff-Radford, Bernardino Ghetti, Martin R. Farlow, Jasmeer P. Chhatwal, Stephen Salloway, Chengjie Xiong, Celeste M. Karch, Nigel Cairns, Richard J. Perrin, Gregory Day, Ralph Martins, Raquel Sanchez-Valle, Hiroshi Mori, Hiroyuki Shimada, Takeshi Ikeuchi, Kazushi Suzuki, Peter R. Schofield, Colin L. Masters, Alison Goate, Virginia Buckles, Nick C. Fox, Patricio Chrem, Ricardo Allegri, John M. Ringman, Igor Yakushev, Christoph Laske, Mathias Jucker, Gunter Hoglinger, Randall J. Bateman, Adrian Danek, Johannes Levin
Summary: Autosomal dominant Alzheimer's disease (ADAD) has distinct neurological examination findings that are useful for estimating prognosis and guiding clinical care and therapeutic trial designs.
ALZHEIMERS & DEMENTIA
(2023)
Article
Clinical Neurology
Patrick H. Luckett, Charlie Chen, Brian A. Gordon, Julie Wisch, Sarah B. Berman, Jasmeer P. Chhatwal, Carlos Cruchaga, Anne M. Fagan, Martin R. Farlow, Nick C. Fox, Mathias Jucker, Johannes Levin, Colin L. Masters, Hiroshi Mori, James M. Noble, Stephen Salloway, Peter R. Schofield, Adam M. Brickman, William S. Brooks, David M. Cash, Michael J. Fulham, Bernardino Ghetti, Clifford R. Jack, Jonathan Voeglein, William E. Klunk, Robert Koeppe, Yi Su, Michael Weiner, Qing Wang, Daniel Marcus, Deborah Koudelis, Nelly Joseph-Mathurin, Lisa Cash, Russ Hornbeck, Chengjie Xiong, Richard J. Perrin, Celeste M. Karch, Jason Hassenstab, Eric McDade, John C. Morris, Tammie L. S. Benzinger, Randall J. Bateman, Beau M. Ances
Summary: This study analyzed 19 biomarkers of Alzheimer's disease using hierarchical clustering and feature selection, and found that amyloid and tau measures were the primary predictors. Emerging biomarkers of neuronal integrity and inflammation showed weaker predictive ability.
ALZHEIMERS & DEMENTIA
(2023)
Article
Clinical Neurology
Maria Vassilaki, Jeremiah A. Aakre, Anna Castillo, Alanna M. Chamberlain, Patrick M. Wilson, Walter K. Kremers, Michelle M. Mielke, Yonas E. Geda, Mary M. Machulda, Rabe E. Alhurani, Jonathan Graff-Radford, Prashanthi Vemuri, Val J. Lowe, Clifford R. Jack, David S. Knopman, Ronald C. Petersen
Summary: The study found an association between neighborhood socioeconomic deprivation and cognitive decline, mild cognitive impairment, and dementia in older adults. Higher levels of neighborhood deprivation were associated with an increased risk of progression to dementia and slightly faster cognitive decline.
ALZHEIMERS & DEMENTIA
(2023)
Article
Clinical Neurology
Michael W. Weiner, Danielle Harvey, Susan M. Landau, Dallas P. Veitch, Thomas C. Neylan, Jordan H. Grafman, Paul S. Aisen, Ronald C. Petersen, Clifford R. Jack, Duygu Tosun, Leslie M. Shaw, John Q. Trojanowski, Andrew J. Saykin, Jacqueline Hayes, Charles De Carli
Summary: The study found no significant association between TBI and/or PTSD and biomarker-defined AD. Veterans with TBI and/or PTSD had poorer cognitive status, which may be attributed to other comorbid pathologies.
ALZHEIMERS & DEMENTIA
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Emanuele Camerucci, Jonathan Graff-Radford, David T. Jones, Benjamin D. Elder, Jeffrey L. Gunter, Jeremy K. Cutsforth-Gregory, Hugo Botha, Matthew C. Murphy, Derek R. Johnson, Caroline Davidge-Pitts, Clifford R. Jack, John Huston, Petrice M. Cogswell
Summary: This study evaluated the change in size of focally enlarged sulci (FES) and pituitary height after shunt placement in patients with idiopathic normal pressure hydrocephalus (iNPH). The results showed a significant decrease in FES volume and a significant increase in pituitary gland size after shunt placement.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2023)
Letter
Clinical Neurology
Antoinette O'Connor, Emily Abel, Andrea Lessa Benedet, Teresa Poole, Nicholas Ashton, Philip Simon John Weston, Amanda J. Heslegrave, Natalie Ryan, Suzie Barker, James M. Polke, Kaj Blennow, Henrik Zetterberg, Nick C. Fox
JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY
(2023)
Letter
Clinical Neurology
Antoinette O'Connor, Helen Rice, Josephine Barnes, Natalie S. Ryan, Kathy Y. Liu, Ricardo Francisco Allegri, Sarah Berman, John M. Ringman, Carlos Cruchaga, Martin R. Farlow, Jason Hassenstab, Jae-Hong Lee, Richard J. Perrin, Chengjie Xiong, Brian Gordon, Allan Levey, Alison Goate, Neil Graff-Radford, Johannes Levin, Mathias Jucker, Tammie Benzinger, Eric McDade, Hiroshi Mori, James M. Noble, Peter R. Schofield, Ralph N. Martins, Stephen Salloway, Jasmeer Chhatwal, John C. Morris, Randall Bateman, Rob Howard, Suzanne Reeves, Nick C. Fox
JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY
(2023)
Article
Biology
Peter R. Millar, Brian A. Gordon, Patrick H. Luckett, Tammie L. S. Benzinger, Carlos Cruchaga, Anne M. Fagan, Jason J. Hassenstab, Richard J. Perrin, Suzanne E. Schindler, Ricardo F. Allegri, Gregory S. Day, Martin R. Farlow, Hiroshi Mori, Georg Nuebling, Randall J. Bateman, John C. Morris, Beau M. Ances
Summary: Estimates of 'brain-predicted age' quantify apparent brain age compared to normative trajectories of neuroimaging features. The brain age gap (BAG) between predicted and chronological age is elevated in symptomatic Alzheimer disease (AD) but has not been well explored in presymptomatic AD. Prior studies have typically modeled BAG with structural MRI, but more recently other modalities, including functional connectivity (FC) and multimodal MRI, have been explored.
Article
Clinical Neurology
Clifford R. Jack Jr, Heather J. Wiste, Alicia Algeciras-Schimnich, Dan J. Figdore, Christopher G. Schwarz, Val J. Lowe, Vijay K. Ramanan, Prashanthi Vemuri, Michelle M. Mielke, David S. Knopman, Jonathan Graff-Radford, Bradley F. Boeve, Kejal Kantarci, Petrice M. Cogswell, Matthew L. Senjem, Jeffrey L. Gunter, Terry M. Therneau, Ronald C. Petersen
Summary: Staging the severity of Alzheimer's disease pathology is important for therapeutic trials and clinical prognosis. Biomarkers such as amyloid and tau PET can be used for disease staging, but plasma biomarkers would be more practical.
Article
Clinical Neurology
Antoinette O'Connor, David M. Cash, Teresa Poole, Pawel J. Markiewicz, Maggie R. Fraser, Ian B. Malone, Jieqing Jiao, Philip S. J. Weston, Shaney Flores, Russ Hornbeck, Eric McDade, Michael Schoell, Brian A. Gordon, Randall J. Bateman, Tammie L. S. Benzinger, Nick C. Fox
Summary: Cortical tau accumulation is a crucial pathological event in Alzheimer's disease, and understanding the timing and pattern of tau deposition can help track the disease progression. This study used data from participants in AD cohort studies to investigate if tau PET can detect early changes in presymptomatic carriers and found that there were regional differences in tau accumulation prior to symptom onset, particularly in posterior regions.
ALZHEIMERS RESEARCH & THERAPY
(2023)
Article
Clinical Neurology
Neha Atulkumar Singh, Peter R. Martin, Jonathan Graff-Radford, Irene Sintini, Mary M. Machulda, Joseph R. Duffy, Jeffrey L. Gunter, Hugo Botha, David T. Jones, Val J. Lowe, Clifford R. JackJr, Keith A. Josephs, Jennifer L. Whitwell
Summary: Posterior cortical atrophy and logopenic progressive aphasia are atypical clinical presentations of Alzheimer's disease, both showing disruptions in functional networks. The language network is affected in logopenic progressive aphasia, while the visual network is affected in posterior cortical atrophy. However, there is limited knowledge about the differences in connectivity within and between brain networks in these atypical Alzheimer's disease phenotypes.
BRAIN COMMUNICATIONS
(2023)
Article
Clinical Neurology
Nick Corriveau-Lecavalier, Jeffrey L. Gunter, Michael Kamykowski, Ellen Dicks, Hugo Botha, Walter K. Kremers, Jonathan Graff-Radford, Daniela A. Wiepert, Christopher G. Schwarz, Essa Yacoub, David S. Knopman, Bradley F. Boeve, Kamil Ugurbil, Ronald C. Petersen, Clifford R. Jack, Melissa J. Terpstra, David T. Jones
Summary: From a complex systems perspective, clinical syndromes emerging from neurodegenerative diseases are thought to result from multiscale interactions between aggregates of misfolded proteins and the disequilibrium of large-scale networks coordinating functional operations underpinning cognitive phenomena. Age-related disruption of the default mode network is accelerated by amyloid deposition in all syndromic presentations of Alzheimer's disease, while syndromic variability may reflect selective neurodegeneration of modular networks supporting specific cognitive abilities. This study investigates the use of a biomarker of default mode network dysfunction, the network failure quotient, to assess Alzheimer's disease in a normative cohort and differentiate between different phenotypes of the disease. The study provides important insights into the shared pathophysiological mechanisms and distinct neurodegenerative processes involved in Alzheimer's disease.
BRAIN COMMUNICATIONS
(2023)
Article
Clinical Neurology
Sarah-Naomi James, Emily N. Manning, Mathew Storey, Jennifer M. Nicholas, William Coath, Sarah E. Keuss, David M. Cash, Christopher A. Lane, Thomas Parker, Ashvini Keshavan, Sarah M. Buchanan, Aaron Wagen, Mathew Harris, Ian Malone, Kirsty Lu, Louisa P. Needham, Rebecca Street, David Thomas, John Dickson, Heidi Murray-Smith, Andrew Wong, Tamar Freiberger, Sebastian J. Crutch, Nick C. Fox, Marcus Richards, Frederik Barkhof, Carole H. Sudre, Josephine Barnes, Jonathan M. Schott
Summary: This study investigates the associations between normal-appearing white matter microstructural integrity, brain health, cognition, demographics, genetics, and cardiovascular health in cognitively normal adults in their seventies. The results show that measures of brain health, cognition, demographics, genetics, and cardiovascular health are associated with the microstructural integrity of normal-appearing white matter. Additionally, sex, blood pressure, and cardiovascular health in females were found to have an impact on white matter integrity.
BRAIN COMMUNICATIONS
(2023)
Article
Clinical Neurology
William Coath, Marc Modat, M. Jorge J. Cardoso, Pawel J. A. Markiewicz, Christopher A. D. Lane, Thomas D. Parker, Ashvini M. Keshavan, Sarah M. E. Buchanan, Sarah E. J. Keuss, Matthew J. Harris, Ninon Burgos, John Dickson, Anna L. Barnes, David L. Thomas, Daniel B. Beasley, Ian B. Malone, Andrew Wong, Kjell A. Erlandsson, Benjamin A. Thomas, Michael Scholl, Sebastien Ourselin, Marcus C. Richards, Nick C. M. Fox, Jonathan M. M. Schott, David M. Cash
Summary: The Centiloid scale aims to harmonize Aβ PET measures across different analysis methods. This study investigated the Centiloid transformation with PET/MRI data, finding that the transformation is valid but further understanding of the effects of acquisition or biological factors on using white matter as a reference is needed.
ALZHEIMER'S & DEMENTIA: DIAGNOSIS, ASSESSMENT & DISEASE MONITORING
(2023)
Article
Clinical Neurology
Julie K. K. Wisch, Ganesh M. Babulal, Kalen Petersen, Peter R. R. Millar, Enbal Shacham, Stephen Scroggins, Anna H. H. Boerwinkle, Shaney Flores, Sarah Keefe, Brian A. A. Gordon, John C. C. Morris, Beau M. M. Ances
Summary: This article presents a practical guide for applying geospatial methods to a neuroimaging cohort, aiming to evaluate the impact of the environment on the brain. The authors used structural magnetic resonance imaging data from 239 city-dwelling participants in St. Louis, Missouri, and compared them to population-level estimates from the American Community Survey to identify neighborhoods associated with altered brain structure. They observed a relationship between neighborhoods and brain health, suggesting the potential for neighborhood-based interventions.
ALZHEIMER'S & DEMENTIA: DIAGNOSIS, ASSESSMENT & DISEASE MONITORING
(2023)