Detail
Článek
Článek online
FT
Medvik - BMČ
  • Je něco špatně v tomto záznamu ?

Brain Age in Early Stages of Bipolar Disorders or Schizophrenia

T. Hajek, K. Franke, M. Kolenic, J. Capkova, M. Matejka, L. Propper, R. Uher, P. Stopkova, T. Novak, T. Paus, M. Kopecek, F. Spaniel, M. Alda,

. 2019 ; 45 (1) : 190-198. [pub] 20190101

Jazyk angličtina Země Spojené státy americké

Typ dokumentu srovnávací studie, časopisecké články, práce podpořená grantem

Perzistentní odkaz   https://www.medvik.cz/link/bmc19028654

Grantová podpora
NV16-32791A MZ0 CEP - Centrální evidence projektů
NV16-32791A MZ0 CEP - Centrální evidence projektů

Digitální knihovna NLK
Plný text - Článek
Plný text - Článek

E-zdroje Online Plný text

NLK Free Medical Journals od 2006 do Před 1 rokem
PubMed Central od 2006 do Před 1 rokem
Europe PubMed Central od 2006 do Před 1 rokem
Medline Complete (EBSCOhost) od 1996-01-01 do Před 1 rokem

Background: The greater presence of neurodevelopmental antecedants may differentiate schizophrenia from bipolar disorders (BD). Machine learning/pattern recognition allows us to estimate the biological age of the brain from structural magnetic resonance imaging scans (MRI). The discrepancy between brain and chronological age could contribute to early detection and differentiation of BD and schizophrenia. Methods: We estimated brain age in 2 studies focusing on early stages of schizophrenia or BD. In the first study, we recruited 43 participants with first episode of schizophrenia-spectrum disorders (FES) and 43 controls. In the second study, we included 96 offspring of bipolar parents (48 unaffected, 48 affected) and 60 controls. We used relevance vector regression trained on an independent sample of 504 controls to estimate the brain age of study participants from structural MRI. We calculated the brain-age gap estimate (BrainAGE) score by subtracting the chronological age from the brain age. Results: Participants with FES had higher BrainAGE scores than controls (F(1, 83) = 8.79, corrected P = .008, Cohen's d = 0.64). Their brain age was on average 2.64 ± 4.15 years greater than their chronological age (matched t(42) = 4.36, P < .001). In contrast, participants at risk or in the early stages of BD showed comparable BrainAGE scores to controls (F(2,149) = 1.04, corrected P = .70, η2 = 0.01) and comparable brain and chronological age. Conclusions: Early stages of schizophrenia, but not early stages of BD, were associated with advanced BrainAGE scores. Participants with FES showed neurostructural alterations, which made their brains appear 2.64 years older than their chronological age. BrainAGE scores could aid in early differential diagnosis between BD and schizophrenia.

Citace poskytuje Crossref.org

000      
00000naa a2200000 a 4500
001      
bmc19028654
003      
CZ-PrNML
005      
20190822104017.0
007      
ta
008      
190813s2019 xxu f 000 0|eng||
009      
AR
024    7_
$a 10.1093/schbul/sbx172 $2 doi
035    __
$a (PubMed)29272464
040    __
$a ABA008 $b cze $d ABA008 $e AACR2
041    0_
$a eng
044    __
$a xxu
100    1_
$a Hajek, Tomas $u Department of Psychiatry, Dalhousie University, Halifax, NS, Canada. National Institute of Mental Health, Klecany, Czech Republic.
245    10
$a Brain Age in Early Stages of Bipolar Disorders or Schizophrenia / $c T. Hajek, K. Franke, M. Kolenic, J. Capkova, M. Matejka, L. Propper, R. Uher, P. Stopkova, T. Novak, T. Paus, M. Kopecek, F. Spaniel, M. Alda,
520    9_
$a Background: The greater presence of neurodevelopmental antecedants may differentiate schizophrenia from bipolar disorders (BD). Machine learning/pattern recognition allows us to estimate the biological age of the brain from structural magnetic resonance imaging scans (MRI). The discrepancy between brain and chronological age could contribute to early detection and differentiation of BD and schizophrenia. Methods: We estimated brain age in 2 studies focusing on early stages of schizophrenia or BD. In the first study, we recruited 43 participants with first episode of schizophrenia-spectrum disorders (FES) and 43 controls. In the second study, we included 96 offspring of bipolar parents (48 unaffected, 48 affected) and 60 controls. We used relevance vector regression trained on an independent sample of 504 controls to estimate the brain age of study participants from structural MRI. We calculated the brain-age gap estimate (BrainAGE) score by subtracting the chronological age from the brain age. Results: Participants with FES had higher BrainAGE scores than controls (F(1, 83) = 8.79, corrected P = .008, Cohen's d = 0.64). Their brain age was on average 2.64 ± 4.15 years greater than their chronological age (matched t(42) = 4.36, P < .001). In contrast, participants at risk or in the early stages of BD showed comparable BrainAGE scores to controls (F(2,149) = 1.04, corrected P = .70, η2 = 0.01) and comparable brain and chronological age. Conclusions: Early stages of schizophrenia, but not early stages of BD, were associated with advanced BrainAGE scores. Participants with FES showed neurostructural alterations, which made their brains appear 2.64 years older than their chronological age. BrainAGE scores could aid in early differential diagnosis between BD and schizophrenia.
650    _2
$a mladiství $7 D000293
650    _2
$a dospělí $7 D000328
650    _2
$a věkové faktory $7 D000367
650    _2
$a bipolární porucha $x diagnostické zobrazování $7 D001714
650    _2
$a diferenciální diagnóza $7 D003937
650    _2
$a ženské pohlaví $7 D005260
650    _2
$a lidé $7 D006801
650    12
$a strojové učení $7 D000069550
650    _2
$a magnetická rezonanční tomografie $x metody $7 D008279
650    _2
$a mužské pohlaví $7 D008297
650    _2
$a psychotické poruchy $x diagnostické zobrazování $7 D011618
650    _2
$a riziko $7 D012306
650    _2
$a schizofrenie $x diagnostické zobrazování $7 D012559
650    _2
$a mladý dospělý $7 D055815
655    _2
$a srovnávací studie $7 D003160
655    _2
$a časopisecké články $7 D016428
655    _2
$a práce podpořená grantem $7 D013485
700    1_
$a Franke, Katja $u Structural Brain Mapping Group, Department of Neurology, Jena University Hospital, Jena, Germany.
700    1_
$a Kolenic, Marian $u National Institute of Mental Health, Klecany, Czech Republic.
700    1_
$a Capkova, Jana $u National Institute of Mental Health, Klecany, Czech Republic.
700    1_
$a Matejka, Martin $u National Institute of Mental Health, Klecany, Czech Republic. Psychiatric Hospital Bohnice, Prague, Czech Republic.
700    1_
$a Propper, Lukas $u Department of Psychiatry, Dalhousie University, Halifax, NS, Canada.
700    1_
$a Uher, Rudolf $u Department of Psychiatry, Dalhousie University, Halifax, NS, Canada.
700    1_
$a Stopkova, Pavla $u National Institute of Mental Health, Klecany, Czech Republic.
700    1_
$a Novak, Tomas $u National Institute of Mental Health, Klecany, Czech Republic.
700    1_
$a Paus, Tomas $u Rotman Research Institute and Departments of Psychology and Psychiatry, University of Toronto, Toronto, ON, Canada. Center for Developing Brain, Child Mind Institute, New York, NY.
700    1_
$a Kopecek, Miloslav $u National Institute of Mental Health, Klecany, Czech Republic.
700    1_
$a Spaniel, Filip $u National Institute of Mental Health, Klecany, Czech Republic.
700    1_
$a Alda, Martin $u Department of Psychiatry, Dalhousie University, Halifax, NS, Canada. National Institute of Mental Health, Klecany, Czech Republic.
773    0_
$w MED00004355 $t Schizophrenia bulletin $x 1745-1701 $g Roč. 45, č. 1 (2019), s. 190-198
856    41
$u https://pubmed.ncbi.nlm.nih.gov/29272464 $y Pubmed
910    __
$a ABA008 $b sig $c sign $y a $z 0
990    __
$a 20190813 $b ABA008
991    __
$a 20190822104255 $b ABA008
999    __
$a ok $b bmc $g 1433803 $s 1067114
BAS    __
$a 3
BAS    __
$a PreBMC
BMC    __
$a 2019 $b 45 $c 1 $d 190-198 $e 20190101 $i 1745-1701 $m Schizophrenia bulletin $n Schizophr Bull $x MED00004355
GRA    __
$a NV16-32696A $a NV16-32791A $p MZ0 $p MZ0
GRA    __
$a NV16-32696A $a NV16-32791A $p MZ0 $p MZ0
LZP    __
$a Pubmed-20190813

Najít záznam

Citační ukazatele

Nahrávání dat ...

Možnosti archivace

Nahrávání dat ...