Evidence map›Paper›PMID 36411282›Full record

SynthesisTranslational psychiatry2022

Connectomic neuromodulation for Alzheimer's disease: A systematic review and meta-analysis of invasive and non-invasive techniques.

Cletus Cheyuo, Jurgen Germann, Kazuaki Yamamoto, Artur Vetkas, Aaron Loh, Can Sarica, Vanessa Milano, Ajmal Zemmar, Oliver Flouty, Irene E Harmsen and 4 more

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Translational psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.7field-weighted citation impact, top 14% 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

10 citing papers in PubMed, 16 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
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 4 countries.

Cletus CheyuoDivision of Neurosurgery, Toronto Western Hospital, University Health Network, University of Toronto, Toronto, ON, Canada.ORCID 0000-0002-9717-3738
Jurgen GermannDivision of Neurosurgery, Toronto Western Hospital, University Health Network, University of Toronto, Toronto, ON, Canada.ORCID 0000-0003-0995-8226
Kazuaki YamamotoDivision of Neurosurgery, Toronto Western Hospital, University Health Network, University of Toronto, Toronto, ON, Canada.ORCID 0000-0001-7362-6707
Artur VetkasDivision of Neurosurgery, Toronto Western Hospital, University Health Network, University of Toronto, Toronto, ON, Canada.
Aaron LohDivision of Neurosurgery, Toronto Western Hospital, University Health Network, University of Toronto, Toronto, ON, Canada.
Can SaricaDivision of Neurosurgery, Toronto Western Hospital, University Health Network, University of Toronto, Toronto, ON, Canada.
Vanessa MilanoJFK Neuroscience Institute, Edison, NJ, USA.
Ajmal ZemmarDepartment of Neurosurgery, University of Louisville, School of Medicine, Louisville, KY, USA.
Oliver FloutyDepartment of Neurosurgery, University of South Florida, College of Medicine, Tampa, FL, USA.
Irene E HarmsenDivision of Neurosurgery, Toronto Western Hospital, University Health Network, University of Toronto, Toronto, ON, Canada.
Mojgan HodaieDivision of Neurosurgery, Toronto Western Hospital, University Health Network, University of Toronto, Toronto, ON, Canada.ORCID 0000-0001-6278-4929
Suneil K KaliaDivision of Neurosurgery, Toronto Western Hospital, University Health Network, University of Toronto, Toronto, ON, Canada.ORCID 0000-0003-2054-1915
David Tang-WaiDepartment of Neurology, Toronto Western Hospital, University Health Network, University of Toronto, Toronto, ON, Canada.
Andres M LozanoDivision of Neurosurgery, Toronto Western Hospital, University Health Network, University of Toronto, Toronto, ON, Canada. andres.lozano@uhnresearch.ca.ORCID 0000-0001-8257-3694
University Health Network · CAJohn F. Kennedy Medical Center · USUniversity of Louisville · USUniversity of South Florida · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Deep brain stimulation (DBS) and non-invasive neuromodulation are currently being investigated for treating network dysfunction in Alzheimer's Disease (AD). However, due to heterogeneity in techniques and targets, the cognitive outcome and brain network connectivity remain unknown. We performed a systematic review, meta-analysis, and normative functional connectivity to determine the cognitive outcome and brain networks of DBS and non-invasive neuromodulation in AD. PubMed, Embase, and Web of Science were searched using three concepts: dementia, brain connectome, and brain stimulation, with filters for English, human studies, and publication dates 1980-2021. Additional records from clinicaltrials.gov were added. Inclusion criteria were AD study with DBS or non-invasive neuromodulation and a cognitive outcome. Exclusion criteria were less than 3-months follow-up, severe dementia, and focused ultrasound intervention. Bias was assessed using Centre for Evidence-Based Medicine levels of evidence. We performed meta-analysis, with subgroup analysis based on type and age at neuromodulation. To determine the patterns of neuromodulation-induced brain network activation, we performed normative functional connectivity using rsfMRI of 1000 healthy subjects. Six studies, with 242 AD patients, met inclusion criteria. On fixed-effect meta-analysis, non-invasive neuromodulation favored baseline, with effect size -0.40(95% [CI], -0.73, -0.06, p = 0.02), while that of DBS was 0.11(95% [CI] -0.34, 0.56, p = 0.63), in favor of DBS. In patients ≥65 years old, DBS improved cognitive outcome, 0.95(95% [CI] 0.31, 1.58, p = 0.004), whereas in patients <65 years old baseline was favored, -0.17(95% [CI] -0.93, 0.58, p = 0.65). Functional connectivity regions were in the default mode (DMN), salience (SN), central executive (CEN) networks, and Papez circuit. The subgenual cingulate and anterior limb of internal capsule (ALIC) showed connectivity to all targets of neuromodulation. This meta-analysis provides level II evidence of a difference in response of AD patients to DBS, based on age at intervention. Brain stimulation in AD may modulate DMN, SN, CEN, and Papez circuit, with the subgenual cingulate and ALIC as potential targets.

Indexed as

Alzheimer DiseaseConnectomeDeep Brain StimulationDementiaAgedBrainHumans

Identifiers

PMID36411282
PMCPMC9678946
OpenAlexW4309668973

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.