Evidence map›Paper›PMID 42431898›Full record

ArticleTranslational psychiatry2026

Aberrant recovery of timescale-aligned amplitude balance links to symptoms and cognition in schizophrenia.

Sir-Lord Wiafe, Spencer Kinsey, Najme Soleimani, Raymond O Nsafoa, Nigar Khasayeva, Amritha Harikumar, Robyn Miller, Vince D Calhoun

Abstract read
In one paragraph

Article in Translational psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Sir-Lord WiafeTri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA, 30303, USA. lwiafe1@gsu.edu.ORCID http://orcid.org/0009-0002-8583-7987
Spencer KinseyTri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA, 30303, USA.ORCID http://orcid.org/0009-0002-4743-380X
Najme SoleimaniTri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA, 30303, USA.
Raymond O NsafoaKwame Nkrumah University of Science and Technology (KNUST) Hospital, Kumasi, 00233, Ghana.
Nigar KhasayevaTri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA, 30303, USA.
Amritha HarikumarTri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA, 30303, USA.
Robyn MillerTri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA, 30303, USA.
Vince D CalhounTri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA, 30303, USA.ORCID http://orcid.org/0000-0001-9058-0747

Funding

National Science Foundation (NSF) 2112455
6 · The paper itself

Abstract

Schizophrenia involves well-documented disruptions of large-scale brain coordination, but how strongly networks engage one another, and how that engagement recovers when disrupted, remains poorly understood. We identify amplitude proportionality, the maintenance and recovery of matched engagement strength between networks, as a core dimension of coordination, largely obscured by intrinsic timescale differences. We developed a timescale-aligned, time-resolved amplitude framework that isolates amplitude differences from temporal misalignments, applied to a multi-site schizophrenia cohort (160 controls, 151 patients) with test-retest validation in the Human Connectome Project (n = 827). Patients with schizophrenia showed greater amplitude imbalance, especially during fast fluctuations, along with more frequent re-entry into unbalanced states and slower recovery to stable amplitude coordination. The imbalance carried symptom-specific signatures: cerebellar amplitude abnormalities scaled with positive symptoms, while cognitive control and default-mode imbalance scaled with negative symptoms. Slower recovery was also associated with poorer reasoning and problem-solving. These findings identify aberrant amplitude proportionality and impaired recovery to magnitude balance as a core dynamic feature of schizophrenia, with circuit-resolved signatures mapping onto distinct symptom dimensions, providing individual-level metrics as candidate biomarkers and hypothesis-generating targets for future neuromodulation studies.

Indexed as

BrainCognitionSchizophreniaSchizophrenic PsychologyAdultConnectomeFemaleHumansMagnetic Resonance ImagingMale

Identifiers

PMID42431898
PMCPMC13503884

What Socratic holds

Textmetadata
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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 Socratic graph.