Evidence map›Paper›PMID 35380884›Full record

ReviewJournal of geriatric psychiatry and neurology2022

Towards Defining the Neuroanatomical Basis of Late-Onset Psychiatric Symptoms.

Megan S Barker, Stephanie A Cosentino, Rachel Fremont, Davangere P Devanand, Edward D Huey

Open access · greenAbstract readReview
In one paragraph

Review in Journal of geriatric psychiatry and neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 31% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Guideline
  2. Article
  3. Article
  4. Article
  5. 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

5 authors at 2 institutions in 1 country.

Megan S BarkerTaub Institute for Research on Alzheimer's Disease and the Aging Brain, 21611Columbia University Irving Medical Center, New York, NY, USA.ORCID 0000-0001-5385-5908
Stephanie A CosentinoTaub Institute for Research on Alzheimer's Disease and the Aging Brain, 21611Columbia University Irving Medical Center, New York, NY, USA.
Rachel FremontDivision of Geriatric Psychiatry, Department of Psychiatry, College of Physicians and Surgeons, 12294Columbia University, New York, NY, USA.ORCID 0000-0001-5285-7899
Davangere P DevanandDivision of Geriatric Psychiatry, Department of Psychiatry, College of Physicians and Surgeons, 12294Columbia University, New York, NY, USA.
Edward D HueyTaub Institute for Research on Alzheimer's Disease and the Aging Brain, 21611Columbia University Irving Medical Center, New York, NY, USA.
Columbia University · USColumbia University Irving Medical Center · US

Funding

Research Education CoreP30AG066462 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Miguel Arce · 2020 to 2026
$30.1M
Genetic basis of neuropsychiatric symptoms in Alzheimer's diseaseU01AG079850 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Gary Wayne Beecham, Edward D Huey · 2023 to 2026
$3.0M
Neuroanatomical associations with the factor structure underlying neuropsychiatric symptoms in Alzheimer's diseaseR01AG062268 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI HUEY, EDWARD D · 2018 to 2022
$2.5M
Using RDoC Negative and Positive Valence Paradigms to Investigate the Mechanisms of Neuropsychiatric Symptoms (NPS) in Alzheimer's Disease and Related DementiasR01MH120794 · NIMH · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI HUEY, EDWARD D · 2019 to 2023
$2.1M
NIA NIH HHS P30 AG066462NIA NIH HHS R01 AG062268NIA NIH HHS U01 AG079850NIMH NIH HHS R01 MH120794
6 · The paper itself

Abstract

Psychiatric symptoms, including changes in emotional processing, are a common feature of many neurodegenerative disorders, such as Alzheimer's disease, dementia with Lewy Bodies, frontotemporal dementia, and Huntington's disease. However, the neuroanatomical basis of emotional symptoms is not well defined; this stands in contrast to the relatively well-understood neuroanatomical correlates of cognitive and motor symptoms in neurodegenerative disorders. Furthermore, psychiatric diagnostic categories, as defined by the Diagnostic and Statistical Manual of Mental Disorders (DSM) and International Statistical Classification of Diseases and Related Health Problems (ICD), may have limited applicability in patients with late-onset psychiatric symptoms in the context of neurodegenerative disorders. In this clinical review, we suggest that early-onset and late-onset psychiatric symptoms have distinct etiologies, and that late-onset changes in emotional processing are likely underpinned by neurodegenerative disease. Furthermore, we suggest that an improved understanding of the neuroanatomical correlates of emotional changes in neurodegenerative disease may facilitate diagnosis and future treatment development. Finally, we propose a novel clinical approach, in a preliminary attempt to incorporate late-onset emotional symptoms alongside cognitive and motor symptoms into a clinical "algorithm," with a focus on the neuroanatomy implicated when particular combinations of emotional, cognitive, and motor features are present. We anticipate that this clinical approach will assist with the diagnosis of neurodegenerative disorders, and our proposed schema represents a move towards integrating neurologic and psychiatric classification systems.

Indexed as

Alzheimer DiseaseFrontotemporal DementiaNeurodegenerative DiseasesDiagnostic and Statistical Manual of Mental DisordersHumansNeuroanatomydementiaemotional bluntingneurodegenerative diseaseneuropsychiatry

Identifiers

PMID35380884
PMCPMC11270909
OpenAlexW4225475657

What OpenQuestion holds

Textmetadata
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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.