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Akademický článek

Rationale and design of the ABOARD project (A Personalized Medicine Approach for Alzheimer's Disease)

Autor: Maria A. E. Dreves, Argonde C. vanHarten, Leonie N. C. Visser, Hanneke Rhodius‐Meester, Sebastian Köhler, Minke Kooistra, Janne M. Papma, Madison I. J. Honey, Marco M. Blom, Ellen M. A. Smets, Marjolein E. deVugt, Charlotte E. Teunissen, Wiesje M. van derFlier, the ABOARD Consortium

Publikováno v: Alzheimer’s & Dementia: Translational Research & Clinical Interventions, Vol 9, Iss 2, Pp n/a-n/a (2023)

Abstract The key to stopping Alzheimer's disease (AD) lies in the pre‐dementia stages, with the goal to stop AD before dementia has started. We present the rationale and design of the ABOARD (A Personalized Medicine Approach for Alzheimer's Disease

Externí odkaz: https://doaj.org/article/7d36fbbeaac145b0b93ec9bf7c864c95

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Akademický článek

Social-affective features drive human representations of observed actions

Autor: Diana C Dima, Tyler M Tomita, Christopher J Honey, Leyla Isik

Publikováno v: eLife, Vol 11 (2022)

Humans observe actions performed by others in many different visual and social settings. What features do we extract and attend when we view such complex scenes, and how are they processed in the brain? To answer these questions, we curated two large

Externí odkaz: https://doaj.org/article/82b2ac2457cd4853930bac5589dcd59f

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Akademický článek

Switching between internal and external modes: A multiscale learning principle

Autor: Christopher J. Honey, Ehren L. Newman, Anna C. Schapiro

Publikováno v: Network Neuroscience, Vol 1, Iss 4, Pp 339-356 (2017)

Brains construct internal models that support perception, prediction, and action in the external world. Individual circuits within a brain also learn internal models of the local world of input they receive, in order to facilitate efficient and robus

Externí odkaz: https://doaj.org/article/e54d1f9277854846bf7b7ea4e756114e

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Plasma glial fibrillary acidic protein, neurofilament light, phosphorylated‐tau‐181 and amyloid β 42/40 as prognostic biomarkers for clinical progression to dementia in individuals with subjective cognitive decline and mild cognitive impairment

Autor: Madison I. J. Honey, Inge M.W. Verberk, Mariam Gouda, Zulaiga Hussainali, Lior A. Kroeze, Mardou van Leeuwenstijn, Arenda Mank, Calvin Trieu, David Wilson, Yolande A.L. Pijnenburg, Wiesje M. van der Flier, Argonde C. van Harten, Charlotte E. Teunissen

Publikováno v: Alzheimer's & Dementia. 18

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d6afab29658ae0fbf42321b09bbbb882
https://doi.org/10.1002/alz.064620

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Comparison between plasma, serum and cerebrospinal fluid glial fibrillary acidic protein in Alzheimer’s Disease and Dementia with Lewy bodies and the effect of age and sex on diagnostic performance

Autor: Madison I. J. Honey, Kirsten E. J. Wesenhagen, Eline A.J. Willemse, Inge M.W. Verberk, Lynn Boonkamp, Joep Killestein, Pieter Jelle Visser, Betty M. Tijms, Charlotte E. Teunissen

Publikováno v: Alzheimer's & Dementia. 18

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9d42d92917a3e6fb21200215c57b4950
https://doi.org/10.1002/alz.067313

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The 'Narratives' fMRI dataset for evaluating models of naturalistic language comprehension

Publikováno v: Scientific Data, Vol 8, Iss 1, Pp 1-22 (2021)
Scientific Data

The “Narratives” collection aggregates a variety of functional MRI datasets collected while human subjects listened to naturalistic spoken stories. The current release includes 345 subjects, 891 functional scans, and 27 diverse stories of varying

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9b81b1f31900457b0948290185b4a2d4
https://doaj.org/article/2b463b27ca214b4ab0dfe02db1c3ceb7

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On the automaticity of visual statistical learning

Autor: Kevin D. Himberger, Amy S. Finn, Christopher J. Honey

Humans can extract regularities from their environment, enabling them to recognize and predict sequences of events. The process of regularity extraction is called ‘statistical learning’ and is generally thought to occur rapidly and automatically;

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fd878d11c42c13d0cf7b29f6e861b188
https://doi.org/10.1101/2022.07.04.498716

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