Christine Fennema-Notestine
Overview
Explore the profile of Christine Fennema-Notestine including associated specialties, affiliations and a list of published articles.
Author names and details appear as published. Due to indexing inconsistencies, multiple individuals may share a name, and a single author may have variations. MedLuna displays this data as publicly available, without modification or verification
Snapshot
Snapshot
Articles
140
Citations
7100
Followers
0
Related Specialties
Related Specialties
Top 10 Co-Authors
Top 10 Co-Authors
Published In
Published In
Affiliations
Affiliations
Soon will be listed here.
Recent Articles
1.
Barnett E, Hess J, Hou J, Escott-Price V, Fennema-Notestine C, Kremen W, et al.
medRxiv
. 2025 Mar;
PMID: 40061341
Background: Genetic risk factors for psychiatric and neurodegenerative disorders are well documented. However, some individuals with high genetic risk remain unaffected, and the mechanisms underlying such resilience remain poorly understood....
2.
Williams M, Fennema-Notestine C, Bell T, Lin S, Glatt S, Kremen W, et al.
Ann Neurol
. 2025 Feb;
PMID: 39891430
Objective: Some individuals demonstrate greater cognitive resilience-the ability to maintain cognitive performance despite adverse brain-related changes-through as yet unknown mechanisms. We examined whether cortical thickness in several brain regions confers...
3.
Hou J, Hess J, Zhang C, van Rooij J, Hearn G, Fan C, et al.
Am J Med Genet B Neuropsychiatr Genet
. 2024 Dec;
:e33019.
PMID: 39679839
The comprehensive genome-wide nature of transcriptome studies in Alzheimer's disease (AD) should provide a reliable description of disease molecular states. However, the genes and molecular systems nominated by transcriptomic studies...
4.
Makowski C, Shafiei G, Martinho M, Hagler Jr D, Pecheva D, Dale A, et al.
medRxiv
. 2024 Dec;
PMID: 39649610
Eating disorders (EDs) are multifaceted psychiatric disorders characterized by varying behaviors, traits, and cognitive profiles thought to drive symptom heterogeneity and severity. Non-invasive neuroimaging methods have been critical to elucidate...
5.
Campbell L, Fennema-Notestine C, Sundermann E, Barrett A, Bondi M, Ellis R, et al.
J Int Neuropsychol Soc
. 2024 Nov;
30(10):966-976.
PMID: 39545285
Objective: Identifying persons with HIV (PWH) at increased risk for Alzheimer's disease (AD) is complicated because memory deficits are common in HIV-associated neurocognitive disorders (HAND) and a defining feature of...
6.
Tang R, Elman J, Reynolds C, Puckett O, Panizzon M, Lyons M, et al.
J Gerontol B Psychol Sci Soc Sci
. 2024 Oct;
79(12.
PMID: 39383177
Objectives: Childhood disadvantage is associated with lower general cognitive ability (GCA) and brain structural differences in midlife and older adulthood. However, the neuroanatomical mechanisms underlying childhood disadvantage effects on later-life...
7.
Bell T, Franz C, Thomas K, Williams M, Eyler L, Lerman I, et al.
J Gerontol A Biol Sci Med Sci
. 2024 Aug;
79(11).
PMID: 39169831
Background: Chronic pain leads to tau accumulation and hippocampal atrophy, which may be moderated through inflammation. In older men, we examined associations of chronic pain with Alzheimer's disease (AD)-related plasma...
8.
Lin S, Gillespie N, Notestine R, Gamst A, Chen A, McEvoy L, et al.
Am J Med Genet B Neuropsychiatr Genet
. 2024 Aug;
198(1):e33004.
PMID: 39148448
The prevalence of white matter disease increases with age and is associated with cerebrovascular disease, cognitive decline, and risk for dementia. MRI measures of abnormal signal in the white matter...
9.
Puckett O, Fennema-Notestine C, Hagler Jr D, Braskie M, Chen J, Finch C, et al.
Environ Health Perspect
. 2024 Jul;
132(7):77006.
PMID: 39028627
Background: Increased exposure to ambient air pollution, especially fine particulate matter () is associated with poorer brain health and increased risk for Alzheimer's disease (AD) and related dementias. The locus...
10.
Tang R, Franz C, Hauger R, Dale A, Dorros S, Eyler L, et al.
Biol Psychiatry Cogn Neurosci Neuroimaging
. 2024 Jun;
9(10):975-985.
PMID: 38878863
Background: Early identification of Alzheimer's disease (AD) risk is critical for improving treatment success. Cortical thickness is a macrostructural measure used to assess neurodegeneration in AD. However, cortical microstructural changes...