Evidence map›Paper›PMID 40503021›Full record

ArticleArXiv2025

Functional Architecture of the Human Hypothalamus: Cortical Coupling and Subregional Organization Using 7-Tesla fMRI.

Kent M Lee, Joshua Rodriguez, Ludger Hartley, Jiahe Zhang, Philip A Kragel, Lorena Chanes, Tor D Wager, Karen S Quigley, Lawrence L Wald, Marta Bianciardi and 3 more

Abstract readPreprint
In one paragraph

Article in ArXiv, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Kent M LeeDepartment of Psychology, Northeastern University, Boston, MA.
Joshua RodriguezDepartment of Psychology, Northeastern University, Boston, MA.
Ludger HartleyDepartment of Psychology, Northeastern University, Boston, MA.
Jiahe ZhangDepartment of Psychology, Northeastern University, Boston, MA.
Philip A KragelDepartment of Psychology, Emory University, Atlanta, GA.
Lorena ChanesDepartment of Clinical and Health Psychology, Universitat Autònoma de Barcelona, Barcelona, Spain.
Tor D WagerDepartment of Psychological and Brain Sciences, Dartmouth College, Hanover, NH.
Karen S QuigleyDepartment of Psychology, Northeastern University, Boston, MA.
Lawrence L WaldDepartment of Radiology, Massachusetts General Hospital, Boston, MA.
Marta BianciardiDepartment of Radiology, Massachusetts General Hospital, Boston, MA.
Lisa Feldman BarrettDepartment of Psychology, Northeastern University, Boston, MA.
Jordan E TheriaultDepartment of Psychology, Northeastern University, Boston, MA.
Ajay B SatputeDepartment of Psychology, Northeastern University, Boston, MA.

Funding

Biopsychosocial Mechanisms of Successful AgingR01AG071173 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI Lisa Feldman Barrett, BRADFORD C DICKERSON · 2022 to 2026
$3.9M
Ovarian Effects on Intrinsic Connectivity and the Affective Enhancement of MemoryR01MH109464 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI ANDREANO, JOSEPH M, BARRETT, LISA FELDMAN · 2017 to 2021
$3.5M
Fundamental subcortical mechanisms of affective processingU01CA193632 · NCI · NORTHEASTERN UNIVERSITY · PI BARRETT, LISA FELDMAN, SATPUTE, AJAY · 2016 to 2020
$3.0M
Quantifying the Brain Metabolism Underlying Task-Based BOLD ImagingR21MH129902 · NIMH · NORTHEASTERN UNIVERSITY · PI SANDER, CHRISTIN Y., THERIAULT-BROWN, JORDAN EUGENE · 2022 to 2023
$575k
Probing negative affect circuits in humans using 7T fMRIF32MH133288 · NIMH · NORTHEASTERN UNIVERSITY · PI DEMING, PHILIP · 2023 to 2025
$232k
Advancing understanding of neural representations of threat perception through a novel predictive coding frameworkF32MH122062 · NIMH · NORTHEASTERN UNIVERSITY · PI LEE, KENT M · 2020 to 2022
$201k
NCI NIH HHS U01 CA193632NIA NIH HHS R01 AG071173NIMH NIH HHS F32 MH122062NIMH NIH HHS F32 MH133288NIMH NIH HHS R01 MH109464NIMH NIH HHS R21 MH129902
6 · The paper itself

Abstract

The hypothalamus plays an important role in the regulation of the body's metabolic state and behaviors related to survival. Despite its importance however, many questions exist regarding the intrinsic and extrinsic connections of the hypothalamus in humans, especially its relationship with the cerebral cortex. As a heterogeneous structure, it is possible that the hypothalamus is composed of different subregions, which have their own distinct relationships with the cerebral cortex. Previous work on functional connectivity in the human hypothalamus have either treated it as a unitary structure or relied on methodological approaches that are limited in modeling its intrinsic functional architecture. Here, we used resting-state data from ultra-high field 7-Tesla fMRI and a data-driven analytical approach to identify functional subregions of the human hypothalamus. Our approach identified four functional hypothalamic subregions based on intrinsic functional connectivity, which in turn showed distinct patterns of functional connectivity with the cerebral cortex. Overall, all hypothalamic subregions showed stronger connectivity with a cortical network (Cortical Network 1) composed primarily of frontal, midline, and limbic cortical areas and weaker connectivity with a second cortical network composed largely of posterior sensorimotor regions (Cortical Network 2). Of the hypothalamic subregions, the anterior hypothalamus showed the strongest connection to Cortical Network 1, while a more ventral subregion containing the anterior hypothalamus extending to the tuberal region showed the weakest connectivity. The findings support the use of ultra-high field, high-resolution imaging in providing a more incisive investigation of the human hypothalamus that respects its complex internal structure and extrinsic functional architecture.

Identifiers

PMID40503021
PMCPMC12156108

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.