Jane Stocks
Overview
Explore the profile of Jane Stocks including associated specialties, affiliations and a list of published articles.
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13
Citations
55
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Recent Articles
1.
Heywood A, Stocks J, Schneider J, Arfanakis K, Bennett D, Beg M, et al.
Alzheimers Dement
. 2024 Jun;
20(7):4401-4410.
PMID: 38877688
Introduction: TAR DNA-binding protein 43 (TDP-43) is a highly prevalent proteinopathy that is involved in neurodegenerative processes, including axonal damage. To date, no ante mortem biomarkers exist for TDP-43, and...
2.
Stocks J, Gibson E, Popuri K, Beg M, Rosen H, Wang L
Alzheimer Dis Assoc Disord
. 2024 May;
38(2):112-119.
PMID: 38812447
Purpose: Individuals with behavioral-variant frontotemporal dementia (bvFTD) show changes in brain structure as assessed by MRI and brain function assessed by 18FDG-PET hypometabolism. However, current understanding of the spatial and...
3.
Ma D, Stocks J, Rosen H, Kantarci K, Lockhart S, Bateman J, et al.
Front Neurosci
. 2024 Feb;
18:1331677.
PMID: 38384484
Background: Frontotemporal dementia (FTD) represents a collection of neurobehavioral and neurocognitive syndromes that are associated with a significant degree of clinical, pathological, and genetic heterogeneity. Such heterogeneity hinders the identification...
4.
Stocks J, Heywood A, Popuri K, Beg M, Rosen H, Wang L
J Alzheimers Dis
. 2023 Feb;
92(2):513-527.
PMID: 36776061
Background: The A/T/N framework allows for the assessment of pathology-specific markers of MRI-derived structural atrophy and hypometabolism on 18FDG-PET. However, how these measures relate to each other locally and distantly...
5.
Taylor A, Zhang F, Niu X, Heywood A, Stocks J, Feng G, et al.
Neuroimage
. 2022 Sep;
263:119621.
PMID: 36089183
Neuroimaging-based brain-age estimation via machine learning has emerged as an important new approach for studying brain aging. The difference between one's estimated brain age and chronological age, the brain age...
6.
Heywood A, Stocks J, Schneider J, Arfanakis K, Bennett D, Beg M, et al.
Neuroimage Clin
. 2022 Aug;
35:103125.
PMID: 36002965
No abstract available.
7.
Stocks J, Popuri K, Heywood A, Tosun D, Alpert K, Beg M, et al.
Alzheimers Dement (Amst)
. 2022 May;
14(1):e12304.
PMID: 35496375
Background: Concordance between cortical atrophy and cortical glucose hypometabolism within distributed brain networks was evaluated among cerebrospinal fluid (CSF) biomarker-defined amyloid/tau/neurodegeneration (A/T/N) groups. Method: We computed correlations between cortical thickness...
8.
Gallagher V, Murthy P, Stocks J, Vesci B, Mjaanes J, Chen Y, et al.
Neurotrauma Rep
. 2021 Dec;
2(1):440-452.
PMID: 34901940
Although neuroimaging studies of collision (COLL) sport athletes demonstrate alterations in brain structure and function from pre- to post-season, reliable tools to detect behavioral/cognitive change relevant to functional networks associated...
9.
Sangha O, Ma D, Popuri K, Stocks J, Wang L, Beg M
Neurobiol Aging
. 2021 Jul;
106:1-11.
PMID: 34216846
We investigated differences due to sex in brain structural volume and cortical thickness in older cognitively normal (N=742), cognitively impaired (MCI; N=540) and Alzheimer's Dementia (AD; N=402) individuals from the...
10.
Bae J, Stocks J, Heywood A, Jung Y, Jenkins L, Hill V, et al.
Neurobiol Aging
. 2021 Jan;
99:53-64.
PMID: 33422894
Dementia of Alzheimer's type (DAT) is associated with devastating and irreversible cognitive decline. Predicting which patients with mild cognitive impairment (MCI) will progress to DAT is an ongoing challenge in...