Evidence map›Paper›PMID 42784930›Full record

ArticleNeurobiology of aging2027

Structural brain indicators of cognitive performance in middle and late adulthood: The Human Connectome Project in Aging/Aging Adult Brain Connectome cohort.

Yue Hong, Christa Michel, Gabriele Maria Gassner, Yiwen Zhang, Courtney Accorsi, Beau M Ances, Lauren M Antonucci, Steven E Arnold, Ganesh M Babulal, Susan Y Bookheimer and 23 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Neurobiology of aging, 2027. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

33 authors.

Yue HongAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, USA; Department of Radiology, Harvard Medical School, Boston, MA, USA. Electronic address: yhong3@mgh.harvard.edu.
Christa MichelAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, USA; Carnegie Mellon University Neuroscience Institute, Pittsburgh, PA, USA.
Gabriele Maria GassnerAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, USA; Department of Neurology, University Hospital Zurich, Zurich, Switzerland.
Yiwen ZhangAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, USA.
Courtney AccorsiAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, USA.
Beau M AncesDepartment of Neurology, Washington University School of Medicine, St Louis, MO, USA.
Lauren M AntonucciAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, USA.
Steven E ArnoldDepartment of Neurology, Massachusetts General Hospital, Boston, MA 02114, USA; Department of Neurology, Harvard Medical School, Boston, MA 02114, USA.
Ganesh M BabulalDepartment of Neurology, Washington University School of Medicine, St Louis, MO, USA; Institute of Public Health, Washington University in St. Louis, St. Louis, MO, USA.
Susan Y BookheimerDepartment of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
Randy L BucknerAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, USA; Division of Medical Sciences, Harvard Medical School, Boston, Massachusetts, USA; Center for Brain Science, Harvard University, Cambridge, Massachusetts, USA; Department of Psychiatry, Massachusetts General Hospital, Charlestown, Massachusetts, USA.
Carlos CruchagaDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA; NeuroGenomics and Informatics Center, Washington University, St. Louis, MO, USA.
Mirella Díaz-SantosMary S Easton Center for Alzheimer's Research and Care, Department of Neurology, University of California, Los Angeles, Los Angeles, CA, USA.
Jennifer Stine ElamDepartment of Neuroscience, Washington University School of Medicine, St. Louis, MO, USA.
David Van EssenDepartment of Neuroscience, Washington University School of Medicine, St. Louis, MO, USA.
Dara G GhahremaniDepartment of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
Matthew F GlasserDepartment of Neuroscience, Washington University School of Medicine, St. Louis, MO, USA; Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA.
Michael P HarmsDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
Meher R JuttukondaAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, USA; Department of Radiology, Harvard Medical School, Boston, MA, USA.
Adam M KhayAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, USA.
Jan A KuferAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, USA; Department of Radiology, Harvard Medical School, Boston, MA, USA.
Helen LavretskyDepartment of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
Petra LenziniDepartment of Radiology, Washington University School of Medicine, St. Louis, MO, USA.
Ross W MairAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, USA; Department of Radiology, Harvard Medical School, Boston, MA, USA; Center for Brain Science, Harvard University, Cambridge, Massachusetts, USA.
Pauline M MakiDepartments of Psychiatry, Psychology, and OB/GYN, University of Illinois at Chicago, Chicago, IL, USA.
Thomas E NicholsBig Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK; Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, OX3 9DU, UK.
Angela OliverDepartment of Neurology, Washington University School of Medicine, St Louis, MO, USA.
Eva M RataiAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, USA; Department of Radiology, Harvard Medical School, Boston, MA, USA.
Gayathri VijayaraghavanAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, USA.
Robert C WelshDepartment of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
Essa YacoubCenter for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, MN, USA.
David H SalatAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, USA; Department of Radiology, Harvard Medical School, Boston, MA, USA.
Aging Adult Brain Connectome (AABC) Consortium

Funding

VULNERABILITY AND RESILIENCY IN THE AGING ADULT BRAIN CONNECTOME (AABC)U19AG073585 · NIA · WASHINGTON UNIVERSITY · PI Matthew Frederick Glasser · 2021 to 2026
$41.3M
MAPPING THE HUMAN CONNECTOME DURING TYPICAL AGINGU01AG052564 · NIA · WASHINGTON UNIVERSITY · PI SALAT, DAVID H, TERPSTRA, MELISSA J · 2016 to 2020
$18.9M
NIA NIH HHS U01 AG052564NIA NIH HHS U19 AG073585
6 · The paper itself

Abstract

Although cortical thinning and atrophy are well documented in aging and neurodegenerative disease, the cortical structural features associated with preserved or superior cognition across typical adulthood remain incompletely characterized. We examined associations between cortical thickness and cognitive performance in a large, typically aging cohort and tested whether they vary by age and cognitive domain. We analyzed cross-sectional data from cognitively healthy adults in the Human Connectome Project-Aging/Aging Adult Brain Connectome, spanning middle (36-59 years), early older (60-79), and late older (80 +) adulthood. Sex-stratified, age-residualized factor scores for memory, fluid, and crystallized abilities classified participants as high, middle, and low performers. Whole-brain cortical thickness was compared across groups. Descriptively, the largest and most consistent effects were observed for fluid abilities in midlife, with higher performance associated with greater thickness in bilateral somatomotor, visual, and auditory cortices. These effects spanned multiple sensory and motor regions and were replicated in stringent subsamples, including longitudinally stable and cross-domain high-performance groups. The observed patterns appear to be driven primarily by reduced thickness in low performers rather than by a distinct structural signature of high performers. Differences in cortical thickness between performance groups diminished with advancing age. These findings are consistent with the possibility that greater cortical thickness in sensory and motor cortices reflects a developmental structural advantage associated with higher fluid intelligence during middle adulthood. However, this advantage may not be sufficient to sustain high cognitive performance in later life, when other neural mechanisms may become increasingly important.

Indexed as

AgingBrainCerebral CortexCognitionConnectomeHealthy AgingAdultAgedAged, 80 and overBrain Cortical ThicknessCohort StudiesCross-Sectional StudiesFemaleHumansMaleMiddle AgedAging Adult Brain ConnectomeCingulate cortexCognitive agingCortical thicknessHuman Connectome Project AgingLifespanSomatomotor Cortex

Identifiers

PMID42784930
PMCPMC13643894

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.