Evidence map›Paper›PMID 30138676›Full record

ArticleNeuroImage2018

Chained regularization for identifying brain patterns specific to HIV infection.

Ehsan Adeli, Dongjin Kwon, Qingyu Zhao, Adolf Pfefferbaum, Natalie M Zahr, Edith V Sullivan, Kilian M Pohl

Abstract read
In one paragraph

Article in NeuroImage, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

19 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Confounder-Free Continual Learning via Recursive Feature Normalization.Proceedings of machine learning research · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. A Penalty Approach for Normalizing Feature Distributions to Build Confounder-Free Models.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2022
    Article
  9. Article
  10. Metadata Normalization.Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition · 2021
    Article
  11. Article
  12. Article
  13. Article
  14. Representation Learning with Statistical Independence to Mitigate Bias.IEEE Winter Conference on Applications of Computer Vision. IEEE Winter Conference on Applications of Computer Vision · 2021
    Article
  15. Article
  16. Variational AutoEncoder For Regression: Application to Brain Aging Analysis.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2019
    Article
  17. Data Augmentation Based on Substituting Regional MRIs Volume Scores.Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention : International Workshops, LABELS 2019, HAL-MICCAI 2019, and CuRIOUS 2019, held in c... · 2019
    Article
  18. Confounder-Aware Visualization of ConvNets.Machine learning in medical imaging. MLMI (Workshop) · 2019
    Article
  19. 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

7 authors at 2 institutions in 1 country.

Ehsan AdeliDepartment of Psychiatry & Behavioral Sciences, Stanford University, Stanford, CA, 94305, USA.
Dongjin KwonDepartment of Psychiatry & Behavioral Sciences, Stanford University, Stanford, CA, 94305, USA; Center for Health Sciences, SRI International, Menlo Park, CA, 94025, USA.
Qingyu ZhaoDepartment of Psychiatry & Behavioral Sciences, Stanford University, Stanford, CA, 94305, USA.
Adolf PfefferbaumDepartment of Psychiatry & Behavioral Sciences, Stanford University, Stanford, CA, 94305, USA; Center for Health Sciences, SRI International, Menlo Park, CA, 94025, USA.
Natalie M ZahrDepartment of Psychiatry & Behavioral Sciences, Stanford University, Stanford, CA, 94305, USA; Center for Health Sciences, SRI International, Menlo Park, CA, 94025, USA.
Edith V SullivanDepartment of Psychiatry & Behavioral Sciences, Stanford University, Stanford, CA, 94305, USA.
Kilian M PohlCenter for Health Sciences, SRI International, Menlo Park, CA, 94025, USA. Electronic address: kilian.pohl@sri.com.
Stanford University · USSRI International · US

Funding

Virology CoreP30AI027767 · NIAID · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Paul A. Goepfert · 1988 to 2026
$84.1M
TRACKING HIV INFECTION AND ALCOHOL ABUSE CNS COMORBIDITY WITH NEUROIMAGINGU01AA017347 · NIAAA · SRI INTERNATIONAL · PI PFEFFERBAUM, ADOLF, SULLIVAN, EDITH VIONI · 2007 to 2021
$16.0M
CEREBELLAR STRUCTURE AND FUNCTION IN ALCOHOLISMR01AA010723 · NIAAA · STANFORD UNIVERSITY · PI SULLIVAN, EDITH VIONI, ZAHR, NATALIE M · 1996 to 2025
$8.3M
Machine learning to distinguish HAND from Alzheimer's disease in HIV over age 60R01MH113406 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI POHL, KILIAN MARIA, VALCOUR, VICTOR · 2017 to 2021
$5.5M
Cerebellar Structure and Function in AlcoholismR37AA010723 · NIAAA · STANFORD UNIVERSITY · PI SULLIVAN, EDITH VIONI · 2010 to 2019
$5.4M
Tracking HIV Infection & Alcohol Abuse CNS Comorbidity with NeuroimagingR01AA017347 · NIAAA · SRI INTERNATIONAL · PI Adolf Pfefferbaum · 2022 to 2026
$5.2M
Translational Studies of Brain Circuitry Disrupted by AlcoholismK05AA017168 · NIAAA · STANFORD UNIVERSITY · PI SULLIVAN, EDITH VIONI · 2008 to 2017
$2.2M
Midcareer Mentoring Award for Patient-Oriented Research in HIV and CognitionK24MH098759 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI VALCOUR, VICTOR · 2013 to 2017
$887k
Dementia in HIV patients over 60 years of ageK23AG032872 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI VALCOUR, VICTOR · 2008 to 2010
$643k
Identifying Patterns of Cognitive, Motor, and Brain Structural Abnormalities Differentiating Alcohol Use Disorder with and without HIV Infection ComorbidityF32AA026762 · NIAAA · STANFORD UNIVERSITY · PI ADELI, EHSAN · 2018 to 2019
$86k
NIAAA NIH HHS F32 AA026762NIAAA NIH HHS K05 AA017168NIAAA NIH HHS R01 AA010723NIAAA NIH HHS R01 AA017347NIAAA NIH HHS R37 AA010723NIAAA NIH HHS U01 AA017347NIAID NIH HHS P30 AI027767NIA NIH HHS K23 AG032872NIMH NIH HHS K24 MH098759NIMH NIH HHS R01 MH113406
6 · The paper itself

Abstract

Human Immunodeficiency Virus (HIV) infection continues to have major adverse public health and clinical consequences despite the effectiveness of combination Antiretroviral Therapy (cART) in reducing HIV viral load and improving immune function. As successfully treated individuals with HIV infection age, their cognition declines faster than reported for normal aging. This phenomenon underlines the importance of improving long-term care, which requires a better understanding of the impact of HIV on the brain. In this paper, automated identification of patients and brain regions affected by HIV infection are modeled as a classification problem, whose solution is determined in two steps within our proposed Chained-Regularization framework. The first step focuses on selecting the HIV pattern (i.e., the most informative constellation of brain region measurements for distinguishing HIV infected subjects from healthy controls) by constraining the search for the optimal parameter setting of the classifier via group sparsity (ℓ

Indexed as

AdultBrainFemaleHIV InfectionsHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleMiddle AgedPattern Recognition, AutomatedComputational neuroscienceGroup sparsityHuman immunodeficiency virus (HIV)MRI brain image analysisMultiple kernel learning

Identifiers

PMID30138676
PMCPMC6197908
OpenAlexW2888725209

What OpenQuestion holds

Textmetadata
LicenceTDM
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.