Evidence map›Paper›PMID 36226896›Full record

ArticleJournal of the American Geriatrics Society2023

Neurophysiologic predictors of individual risk for post-operative delirium after elective surgery.

Jessica M Ross, Emiliano Santarnecchi, Shu Jing Lian, Tamara G Fong, Alexandra Touroutoglou, Michele Cavallari, Thomas G Travison, Edward R Marcantonio, Towia A Libermann, Eva M Schmitt and 4 more

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Geriatrics Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.4field-weighted citation impact, top 19% of its field
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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Clinical utility and prospective of TMS-EEG: Updated review from an international expert group.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2026
    Review
  4. Sensory Entrained TMS (seTMS) enhances motor cortex plasticity.bioRxiv : the preprint server for biology · 2025
    Article
  5. Article
  6. Article
  7. Article
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

14 authors at 4 institutions in 2 countries.

Jessica M RossBerenson-Allen Center for Noninvasive Brain Stimulation, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0002-7487-8946
Emiliano SantarnecchiBerenson-Allen Center for Noninvasive Brain Stimulation, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA.
Shu Jing LianBerenson-Allen Center for Noninvasive Brain Stimulation, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA.
Tamara G FongDepartment of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA.
Alexandra TouroutoglouDepartment of Neurology, Harvard Medical School, Boston, Massachusetts, USA.
Michele CavallariCenter for Neurological Imaging, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Thomas G TravisonAging Brain Center, Marcus Institute for Aging Research, Hebrew SeniorLife, Harvard Medical School, Boston, Massachusetts, USA.
Edward R MarcantonioDepartment of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA.
Towia A LibermannDepartment of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA.
Eva M SchmittAging Brain Center, Marcus Institute for Aging Research, Hebrew SeniorLife, Harvard Medical School, Boston, Massachusetts, USA.
Sharon K InouyeDepartment of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA.
Mouhsin M ShafiBerenson-Allen Center for Noninvasive Brain Stimulation, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA.
Alvaro Pascual-LeoneDepartment of Neurology, Harvard Medical School, Boston, Massachusetts, USA.
SAGES II Study Group
Beth Israel Deaconess Medical Center · USHarvard University · USBrigham and Women's Hospital · USHebrew SeniorLife · US

Funding

The Role of Inflammation in the Pathophysiology of Delirium and its Associated Long-Term Cognitive DeclineP01AG031720 · NIA · HEBREW REHABILITATION CENTER FOR AGED · PI INOUYE, SHARON K. · 2010 to 2022
$26.7M
Advancing the Understanding of Postoperative Delirium Mechanisms via Multi-OmicsR01AG051658 · NIA · BETH ISRAEL DEACONESS MEDICAL CENTER · PI TOWIA A. LIBERMANN, EDWARD R MARCANTONIO · 2016 to 2026
$5.9M
NIDUS III: Advanced-Stage Development and Utilization of the NIDUS Research Infrastructure to Advance Interdisciplinary Aging Research inDeliriumR33AG071744 · NIA · JOHNS HOPKINS UNIVERSITY · PI John W. Devlin, Esther Seunghee Oh · 2021 to 2026
$4.7M
Gamma Induction for Amyloid Clearance in Alzheimer’s DiseaseR01AG060981 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI SANTARNECCHI, EMILIANO · 2019 to 2023
$3.5M
Repetitive TMS-induced modulation of cortical excitability in ADR01MH115949 · NIMH · BETH ISRAEL DEACONESS MEDICAL CENTER · PI SHAFI, MOUHSIN · 2018 to 2022
$3.2M
Treating hyperexcitability in Alzheimer’s disease with levetiracetam to improve brain function and cognitionR01AG060987 · NIA · BETH ISRAEL DEACONESS MEDICAL CENTER · PI SHAFI, MOUHSIN · 2019 to 2023
$3.0M
Mid-Career Mentoring Award for Patient-Oriented Research in AgingK24AG035075 · NIA · BETH ISRAEL DEACONESS MEDICAL CENTER · PI MARCANTONIO, EDWARD R · 2010 to 2021
$1.9M
TMS in Primary Progressive Aphasia: Modulation of Brain Networks and LanguageK23DC016912 · NIDCD · MASSACHUSETTS GENERAL HOSPITAL · PI TOUROUTOGLOU, ALEXANDRA · 2019 to 2023
$871k
Alzheimer's Drug Discovery Foundation ADDF-FTD GA201902-2017902Barcelona Brain Health Initiative (La Caixa and Institute Guttmann)Football Players Health Study at Harvard UniversityHebrew SeniorLife/Harvard Medical SchoolMedical Research Service of the Veterans Affairs Palo Alto Health Care SystemNIA NIH HHS K24 AG035075NIA NIH HHS P01 AG031720NIA NIH HHS R01 AG051658NIA NIH HHS R01AG051658NIA NIH HHS R01 AG060981NIA NIH HHS R01 AG060987NIA NIH HHS R33 AG071744NIDCD NIH HHS K23 DC016912NIH HHS P01 AG031720NIH HHS R01 AG060981NIH HHS R01 AG060987NIH HHS R01 MH115949NIH HHS R24AG06142NIH HHS R33 AG071744NIMH NIH HHS R01 MH115949U.S. Department of Veterans Affairs Office of Academic Affiliations Advanced FellowshiU.S. Department of Veterans Affairs Sierra-Pacific Data Science Fellowship
6 · The paper itself

Abstract

backgroundPost-surgical delirium is associated with increased morbidity, lasting cognitive decline, and loss of functional independence. Within a conceptual framework that delirium is triggered by stressors when vulnerabilities exist in cerebral connectivity and plasticity, we previously suggested that neurophysiologic measures might identify individuals at risk for post-surgical delirium. Here we demonstrate the feasibility of the approach and provide preliminary experimental evidence of the predictive value of such neurophysiologic measures for the risk of delirium in older persons undergoing elective surgery.

methodsElectroencephalography (EEG) and transcranial magnetic stimulation (TMS) were collected from 23 patients prior to elective surgery. Resting-state EEG spectral power ratio (SPR) served as a measure of integrity of neural circuits. TMS-EEG metrics of plasticity (TMS-plasticity) were used as indicators of brain capacity to respond to stressors. Presence or absence of delirium was assessed using the confusion assessment method (CAM). We included individuals with no baseline clinically relevant cognitive impairment (MoCA scores ≥21) in order to focus on subclinical neurophysiological measures.

resultsIn patients with no baseline cognitive impairment (N = 20, age = 72 ± 6), 3 developed post-surgical delirium (MoCA = 24 ± 2.6) and 17 did not (controls; MoCA = 25 ± 2.4). Patients who developed delirium had pre-surgical resting-state EEG power ratios outside the 95% confidence interval of controls, and 2/3 had TMS-plasticity measures outside the 95% CI of controls.

conclusionsConsistent with our proposed conceptual framework, this pilot study suggests that non-invasive and scalable neurophysiologic measures can identify individuals at risk of post-operative delirium. Specifically, abnormalities in resting-state EEG spectral power or TMS-plasticity may indicate sub-clinical risk for post-surgery delirium. Extension and confirmation of these findings in a larger sample is needed to assess the clinical utility of the proposed neurophysiologic markers, and to identify specific connectivity and plasticity targets for therapeutic interventions that might minimize the risk of delirium.

Indexed as

Cognitive DysfunctionDeliriumEmergence DeliriumAgedAged, 80 and overElective Surgical ProceduresElectroencephalographyHumansPilot ProjectsTranscranial Magnetic Stimulationconnectivitydeliriumelectroencephalographyplasticitytranscranial magnetic stimulation

Identifiers

PMID36226896
PMCPMC9870959
OpenAlexW4304944094

What OpenQuestion holds

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Registered trials

None linked

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.